Publikationen im SPP

Publikationen nach Projekten

Adaptives Vergessen durch emergente Wissensstrukturen in sozio-technischen Systemen

Antoni, C. H., & Ellwart, T. (2017). Informationsüberlastung bei digitaler Zusammenarbeit—Ursachen, Folgen und Interventionsmöglichkeiten. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO), 48(4), 305–315. DOI

Antoni, C. H., Graf, B. & Ellwart, T. (2020, October). Adaptation and Performance of Generalist and Specialist Teams. The Moderating and Mediating Role of Meta-knowledge and Information Processing Capacity [Presentation]. 15th Interdisciplinary Network of Group Research (INGRoup), Digital Conference.

Berndt, J. O., Reuter, L., & Timm, I.J. (2019). The Role of Organizational Meta-Knowledge for Cyber-Physical Social Systems in Industry 4.0. In Pawar, K. S., Potter, A., Rogers, H., & Glock, C. (Eds.), Supply Chain Networks vs Platforms: Innovations, Challenges and Oppurtunities . Proceedings of the 21st International Symposium on Logistics (pp. 138-145). Nottingham University.

Berndt, J. O., Reuter, L., Ulfert, A. S., Antoni, C. H., Ellwart, T., & Timm, I. J. (2019). Critical Mistakes: Simulating Cognitive Workload of Emergency Response Teams . Social Simulation Conference 2019. Johannes-Gutenberg Universität Mainz.

Ellwart, T. (Nov. 2018). Digitalisierung und Entgrenzung. Eingeladener Vortrag der Katholischen Arbeitnehmerbewegung (KAB) und dem Kolpingwerk Trier zur Vortragsreihe „Arbeit 4.0“ im Karl-Marx Jahr, Trier.

Ellwart, T. & Antoni, C, H. (2017). Shared and Distributed Team Cognition and Information Overload. Evidence and Approaches for Team Adaptation. In R. Marques & J. Batista (Eds.) Information and Communication Overload in the Digital Age (pp. 223-245). Hershey: IGI Global. DOI Google Scholar

Ellwart, T., Kluge, A. (2019). Psychological Perspectives on Intentional Forgetting: An Overview of Concepts and Literature. Springer: Berlin Heidelberg. DOI Google Scholar

Ellwart, T., Schauffel, N., Antoni, C. H., & Timm, I. J. (in press). I vs. robot: Sociodigital self-comparisons in hybrid teams from a theoretical, empirical, and practical perspective. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO)

Ellwart, T., Ulfert, A. S., Antoni, C. H., Becker, J., Frings, C., Göbel, K., Hertel, G., Kluge, A., Meeßen, S., Niessen, C., Nohe, C., Riehle, D., Runge, Y., Schmid, U., Schüffler, A., Siebers, M., Sonnentag, S., Tempel., T., Thielsch, M. T., & Wehrt, W. (2019). Intentional forgetting in socio-digital work systems: system characteristics and user-related psychological consequences on emotion, cognition, and behaviour. AIS Transactions on Enterprise Systems , 4(1). https://doi.org/10.30844/aistes.v4i1.16

Ellwart, T., Ulfert, A.-S., Antoni, C., Becker, J., Frings, C., Göbel, K., Hertel, G., Kluge, A., Meeßen, S., Niessen, C., Nohe, C., Riehle, D., Runge, Y., Schmid, U., Schüffler, A., Siebers, M., Sonnentag, S., Tempel, T., Thielsch, M., Wehrt, W. (2018, September) Forgetting in future work systems: System characteristics and user-related psychological consequences on emotion, cognition, and behaviors. Presentation at the Conference on Intentional Forgetting in Organisations and Work Settings, Potsdam

Ewerz, B., Graf, B., Müller, R., Antoni C. H. & Ellwart, T. (2022, September). The Impact of Agent-Related Knowledge on Trust and Acceptance of Autonomous Support Systems [Presentation]. DGPs-Kongress, Hildesheim, Deutschland.

Ewerz, B., Graf, B., Ellwart, T., Müller, R., Reuter, L., Berndt, J. O., Timm, I. J. & Antoni, C. H. (2022, July). The Impact of Agent-Related Knowledge on Trust and Acceptance in Human Agent Teams [Presentation]. 17th Interdisciplinary Network for Group Research (INGRoup), Hamburg, Germany.

Graf, B., Ellwart, T., Müller, R., Reuter, L., Berndt, J. O., Timm, I. J., & Antoni, C. (under review). Effects of automated communication on a teams’ activity and social presence awareness, team commitment and motivation. Computers in Human Behavior.

Graf, B. & Antoni, C. H. (2023, September). Human-Autonomy Teams I [Symposium]. Fachgruppentagung der AOW-Psychologie, Kassel, Germany.

Graf, B., Müller, R., Antoni, C. H., & Ellwart, T. (2023, September). Untersuchung der unterschiedlichen Auswirkungen verschiedener Autonomiestufen eines Software-Agenten auf Informationsüberlastung, quantitative Arbeitsbelastung und Stresswahrnehmung [Präsentation]. Fachgruppentagung der AOW-Psychologie, Kassel, Deutschland.

Graf, B., Ellwart, T., Müller, R., Reuter, L., Berndt, J. O., Timm, I. J., & Antoni, C. (2022, July). Effects of automated communication on a teams’ activity and social presence awareness, team commitment and motivation [Presentation]. 17th Interdisciplinary Network for Group Research (INGRoup), Hamburg, Germany.

Graf, B., Antoni, C. H., Ellwart, T., Müller, R., Reuter, L., Berndt, J. O. & Timm, I. J. (2021, September). Anpassungsfähigkeit und Leistung von Spezialisten- und Generalistenteams. Der Einfluss der Informationsverarbeitungskapazität und des Metawissens als vermittelnde bzw. moderierende Variablen [Vortrag]. Fachgruppentagung der AOW-Psychologie, Chemnitz, Deutschland.

Graf, B., Antoni, C. H., & Ellwart, T. (2021, März). Wenn Menschen durch digitale Teammitglieder ersetzt werden. Auswirkungen von Rollen- und Aufgabenwissen auf Vertrauen und Benutzerakzeptanz sowie die moderierende Rolle der Aufgabenerfahrung [Präsentation]. Gesellschaft für Arbeitswissenschaften e.V. (GfA), Onlinekonferenz.

Graf, B., Ellwart, T., Schauffel, N., Müller, R., Antoni, C. H., Reuter, L., Berndt, J. O., & Timm, I. J. (2021, März). Die Bedeutung von Rollen- und Aufgabenwissen für Vertrauen in und Erwartungen an KI-gesteuerte Teammitglieder [Präsentation]. Gesellschaft für Arbeitswissenschaften e.V. (GfA), Onlinekonferenz.

Graf, B., & Antoni, C. H. (2021). The relationship between information characteristics and information overload at the workplace - a meta-analysis. European Journal of Work and Organizational Psychology, 30(1), 143–158. DOI

Müller, R. & Ellwart, T. (2023, September). Human-Autonomy Teams II – KI als Teammitglied [Symposium]. Fachgruppentagung der AOW-Psychologie, Kassel, Deutschland.

Müller, R., Graf, B., Ellwart, T. & Antoni, C. H. (2023, September). Der Effekt des Autonomielevels eines Autonomen Agenten auf die Teamwahrnehmung [Präsentation]. Fachgruppentagung der AOW-Psychologie, Kassel, Deutschland

Müller, R. & Antoni, C. H. (2023, July). Is it Me or is it Us? Effect of Agent’s Levels of Autonomy on Team Perception in Human-Agent Collaboration [Presentation]. 18th Interdisciplinary Network of Group Research (INGRoup), Seattle, USA.

Müller, R., Graf, B., Antoni, C. H. & Ellwart, T. (2022, September). Dare to Forget – Auswirkungen des intentionalen Vergessens nach Aufgabendelegation an Software Agenten [Präsentation]. DGPs-Kongress, Hildesheim, Deutschland.

Müller, R., Ellwart, T., Graf, B. & Antoni, C. H. (2022, August). Effects of Meta-Knowledge on Team Adaptive Performance Comparing Manual and Automated Communication [Presentation].Annual Meeting of Academy of Management (AOM), Seattle, USA. DOI

Müller, R. Graf, B., Ellwart, T., & Antoni, C. (2022). How Software Agents Can Help to Coordinate Emergency Response Teams: Adaptive Team Performance Comparing Manual and Automated Team Communication. Journal of Business and Psychology. DOI

Reuter, L., Berndt, J. O., Ulfert, A.-S., Antoni, C. H., Ellwart, T., & Timm, I. J. (2018). Intentional Forgetting in Distributed Artificial Intelligence. KI - Künstliche Intelligenz. DOI Google Scholar

Reuter, L.; Berndt, J.O.; Timm, I.J. (2017): Towards Simulation-based Role Optimization in Organizations. In: Kern-Isberner, G.; Fürnkranz, J.; Thimm, M. (eds.): KI 2017: Advances in Artificial Intelligence - 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017, Proceedings. LNAI/LNCS Vol. 10505, pp. 359-365. Springer: Berlin. DOI Google Scholar

Reuter, L.; Berndt, J.O.; Timm, I.J. (2017): Challenges Of Simulating Teamwork In Organizational Scenarios. In: Chan, W. K. V.; D’Ambrogio, A.; Zacharewicz, G.; Mustafee, N.; Wainer, G.; Page, E. (Eds.): Proceedings of the 2017 Winter Simulation Conference (WSC 2017). pp. 4552-4553. IEEE. DOI Google Scholar

Reuter, L.; Berndt, J.O.; Timm, I.J. (2018): Simulating Psychological Experiments: An Agent-Based Modeling Approach: Fourth International Conference on Human and Social Analytics (HUSO 2018). Google Scholar

Reuter L., Berndt J. O., & Timm I.J. (2020). Exploring the Effects of Role Design on Agent Learning . In Schmid U., Klügl F. & Wolter D. (Eds.), KI 2020: Advances in Artificial Intelligence. KI 2020. Lecture Notes in Computer Science (pp. 190-203). Springer. https://doi.org/10.1007/978-3-030-58285-2_14

Schilling, T., Müller, R. & Ellwart, T. (2023, May). Context matters: Varying preferences for decision-support levels by artificial intelligence in personnel planning [Presentation]. European Association of Work and Organizational Psychology Congress (EAWOP Congress), Katowice, Poland.

Timm, I.J.; Berndt, J.O.; Reuter, L.; Ellwart, T.; Antoni, C.H.; Ulfert, A.-S. (2017): Towards Multiagent-Based Simulation of Knowledge Management in Teams. In: Leyer, M.; Richter, A.; Vodanovich, S. (Eds.): Flexible knowledge practices and the Digital Workplace (FKPDW). Workshop within the 9th Conference on Professional Knowledge Management. KIT: Karlsruhe.

Timm, I. J., Herzog, O., Berndt, J. O., and Beierle, C. Intentional forgetting must be part of the functionality - interview with Prof. Otthein Herzog, Jacobs University Bremen, University of Bremen, and Tongij Uni-versity, Shanghai. KI – Künstliche Intelligenz 33, 1 (2019), 89–91.

Timm, I. J., Reuter, L., & Berndt, J. O. (2020, 7.–10. Januar). Role Assignment Adaptation: An Intentional Forgetting Approach [Konferenzbeitrag ]. Proceedings of the 53rd Hawaii International Conference on System Sciences, Maui, Hawaii, Vereinigte Staaten von Amerika.

Timm, I. J., Reuter, L., Berndt, J. O., Ulfert, A. S., Ellwart, T., & Antoni, C. (2019). Analyzing the Effects of Role Configuration in Logistics Processes using Multiagent-Based Simulation: An Interdisciplinary Approach . In Proceedings of the 52nd Hawaii International Conference on System Sciences.

Timm, I. J. & Reuter, L. (2018). The Role of Knowledge in Intelligent Agents. In C. Beierle, G. Kern-Isberner, M. Ragni, F. Stolzenburg & M. Thimm (Hrsg.), Proceedings of the 7th Workshop on Dynamics of Knowledge and Belief (DKB-2018) and the 6th Workshop KI & Kognition (KIK-2018), (S. 55-67). Aachen: Ceur Workshop Proceedings.

Timm, I. J., Staab, S., Siebers, M., Schon, C., Schmid, U., Sauerwald, K., Reuter, L., Ragni, M., Niederée, C., Maus, H., Kern-Isberner, G., Jilek, C., Friemann, P., Eiter, T., Dengel, A., Dames, H., Bock, T., Berndt, J. O., & Beierle, C. (2018). Intentional forgetting in artificial intelligence systems: Perspectives and challenges . In Proceedings of the Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 357-365). Springer. https://doi.org/10.20378/irb-46646

Timm, I. J., Reuter, L., Berndt, J. O., Müller, R., Antoni, C. H., Ellwart, T., & Graf, B. (2022). Fire, Crime, and Injury (FCI). An agent-based simulation and experimentation platform for socio-digital team analysis. Open Science Framework. DOI

Tran, T. , Schwarz, S. , Niederée, C. , Maus, H. and Kanhabua, N. The Forgotten Needle in My Collections: Task-Aware Ranking of Documents in Semantic Information Space Proceedings of the 1st ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), 2016. DOI I Google Scholar

Ulfert, A. S., Antoni, C. H., & Ellwart, T. (2022). The role of agent autonomy in using decision support systems at work. Computers in Human Behavior, 126, 106987. DOI

Ulfert, A.-S., Antoni, C.H., & Ellwart, T. (2019). Effects of specialization in teams on individual information processing capacity and error rates. Presentation accepted at the 14. INGRoup Conference, July 2019, Lisbon.

Ulfert, A.-S., Antoni, C.H., & Ellwart, T. (2019). Intentional forgetting in teams: effects of knowledge distribution on information capacity. Presentation accepted at 19. EAWOP, June 2019, Turin.

Ulfert, A.-S. & Berndt, J.O. (2017). Intentionales Vergessen durch Prozess- & Rollengestaltung: Synergien bei interdisziplinärer Kooperation der Psychologie und Wirtschaftsinformatik. Presentation at the Ringvorlesung „Arbeit 4.0“. Universität Bielefeld and Universität Paderborn. Bielefeld, Oktober 2017.

Ulfert, Ellwart & Antoni (2017). Interviewbasierte Messung und Visualisierung von Rollen und Prozessen in Arbeitsgruppen. Ansatzpunkte für die Teamentwicklung und –adaptation. Poster präsentiert bei der 14. Arbeitstagung der Fachgruppe Differentielle Psychologie, Persönlichkeitspsychologie und Psychologische Diagnostik, September 2017, München.

Ulfert, Ellwart, Antoni, Reuter, Berndt & Timm (2017). Adaptive Prozess- und Rollengestaltung in Organisationen: Spezialisierung, Systemresistenz und Informationskapazität. Vortrag bei der 10. Tagung der Fachgruppe Arbeits-, Organisations- und Wirtschaftspsychologie, September 2017, Dresden.

Ulfert, A.-S., Reuter, L., Berndt, J.O., Antoni, C.H., Timm, I., & Ellwart, T. (2019). Utilizing Agent Based Modeling in Team Research: Simulating Team Mental Models of Expertise Location. Poster accepted at 19. EAWOP, June 2019, Turin.

Ulfert, Schout, Antoni, Timm, Reuter, Berndt & Ellwart (2018) Informationsverarbeitung durch autonome Softwareagenten. Einfluss wahrgenommener Kontrolle auf Nutzungsabsichten. Präsentation bei DGPS, September 2018, Frankfurt.

Ulfert, Schout, Antoni, Timm, Reuter, Berndt & Ellwart (eingereicht). Delegating information processing tasks to digital software agents (SA): Influence of perceived user control on information load.


"Getrost" Vergessen

Chasin, F., Riehle, D. M., & Rosemann, M. (2019). Trust Management — An Information Systems Perspective . In Proceedings of the European Conference on Information Systems (pp. 1-13).

Ellwart, T., Ulfert, A.-S., Antoni, C. H., Becker, J., Frings, C., Göbel, K., Hertel, G., Kluge, A., Meeßen, S. M., Niessen, C., Nohe, C., Riehle, D. M., Runge, Y., Schmid, U., Schüffler, A., Siebers, M., Sonnentag, S., Tempel, T., Thielsch, M. T., Wehrt W. (2018). Forgetting in future work systems: System characteristics and user-related psychological consequences on emotion, cognition, and behaviors. Paper presented at the Conference on Intentional Forgetting in Organisations and Work Settings, Potsdam, Germany.

Hertel, G., Meeßen, S. M., & Höddinghaus, M. (2020). Trust in the Context of e-HRM. In Bondarouk, T. & Fisher, S. (Eds.), Encyclopedia of Electronic HRM (pp. 76–81). Berlin: De Gruyter Oldenbourg. DOI Verlag

Hertel, G. & Meeßen, S. M. (2020). Wie Technologien das Vergessen unterstützen – und warum das wichtig ist. Wirtschaftspsychologie aktuell, Heft 1 2020, S. 38-42. Verlag

Hertel, G., Meeßen, S. M., Riehle, D. M., Thielsch, M. T., Nohe, C., & Becker, J. (2019). Directed Forgetting in Organizations: Beneficial Effects of Information Systems on Mental Resources and Well-being at Work. Paper presented at the 19th congress of the European Association of Work and Organizational Psychology (EAWOP), Turin, Italy.

Hertel, G., Meeßen, S. M., Riehle, D. M., Thielsch, M. T., Nohe, C., & Becker, J. (2019). Directed Forgetting in Organisations: The Positive Effects of Decision Support Systems on Mental Resources and Well-being. Ergonomics. Vol. 62 (No. 5) DOI Google Scholar

Hertel, G., Meeßen, S. M., Riehle, D. M., Thielsch, M. T., Nohe, C., & Becker, J. (2018). Directed Forgetting in Organizations: Positive Effects of Information Systems on Mental Resources and Well-being. Paper presented at the 51st conference of the Deutsche Gesellschaft für Psychologie (DGPs), Frankfurt, Germany.

Meeßen, S. M., Hertel, G., Thielsch, M. T., Nohe, C., Riehle, D. M., & Becker, J. (2019). Der Einfluss von Vertrauen in Decision Support Systeme auf Directed Forgetting. Paper presented at the 11th conference of the section Work and Organizational Psychology of the Deutsche Gesellschaft für Psychologie (DGPs), Braunschweig, Germany.

Meeßen, S. M., Thielsch, M. T., & Hertel, G. (2019). Trust in Management Information Systems (MIS): A Theoretical Model. Paper presented at the 19th congress of the European Association of Work and Organizational Psychology (EAWOP), Turin, Italy.

Meeßen, S. M., Thielsch, M. T., & Hertel, G. (2020). Trust in Management Information Systems (MIS) - A Theoretical Model. Zeitschrift für Arbeits-und Organisationspsychologie A&O , 64(1), 6-16. https://doi.org/10.1026/0932-4089/a000306

Meeßen, S. M., Thielsch, M. T., Riehle, D. M., & Hertel, G. (2020). Trust is Essential: Positive Effects of Information Systems on Users’ Memory Require Trust in the System. Ergonomics , 63(7), 909-926. https://doi.org/10.1080/00140139.2020.1758797

Meeßen, S. M., Thielsch, M. T., Nohe, C., & Hertel, G. (2017). Vertrauen in Informationssysteme – Critical Incidents und Modellentwicklung. Paper presented at the 10th conference of the section Work and Organizational Psychology of the Deutsche Gesellschaft für Psychologie (DGPs), Dresden, Germany.

Müller, L. S., Nohe, C., Reiners, S., Becker, J., & Hertel, G. (2022). Informationssysteme in der öffentlichen Verwaltung - Eine Längsschnittuntersuchung zu Vertrauen und dessen Auswirkungen auf das Vergessen irrelevanter Arbeitsprozesse. Paper presented at the 52nd conference of the Deutsche Gesellschaft für Psychologie (DGPs), Hildesheim, Germany.

Müller. L. S., Höddinghaus, M., Reiners, S., Riehle, D., Becker, J., & Hertel, G. (2021). Vergessen bei der Arbeit - Eine Längsschnittuntersuchung zum Vertrauen in Informationssysteme am Arbeitsplatz. Paper presented at the 12th conference of the section Work and Organizational Psychology of the Deutsche Gesellschaft für Psychologie (DGPs), Chemnitz, Germany.

Müller, L. S., Höddinghaus, M., Reiners, S., Becker, J., & Hertel, G. (2021). Auswirkungen der COVID-19 Pandemie auf Arbeitsprozesse öffentlicher Verwaltung - Barrieren und Ressourcen eines effektiven Umgangs. Paper presented at the 12th conference of the section Work and Organizational Psychology of the Deutsche Gesellschaft für Psychologie (DGPs), Chemnitz, Germany.

Müller, L. S., Meeßen, S. M., Thielsch, M.T., Nohe, C., Riehle, D. M., & Hertel, G. (2020). Do not Disturb! Trust in Decision Support Systems Improves Work Outcomes Under Certain Conditions. In Proceedings of the Mensch und Computer (MuC2020), Madgeburg, Germany, 229-237.

Müller, L. S., Nohe, C., Reiners, S., Becker, J., & Hertel, G. (in press). Adopting Information Systems at Work: A Longitudinal Examination of Trust Dynamics, Antecedents, and Outcomes. Behaviour & Information Technology.

Müller, L. S., Reiners, S., Becker, J., & Hertel, G. (in press). Long-Term Effects of COVID-19 on Work Routines and Organizational Culture – A Case Study within Higher Education’s Administration. Journal of Business Research.

Reiners, S. (2022, June). Trust and its Extensions in Digital Platform Ecosystems: Key Concepts and Issues for Future Research. In 2022 IEEE 24th Conference on Business Informatics (CBI) (Vol. 2, pp. 1-8). IEEE.

Reiners, S., Müller, L. S., Becker, J., & Hertel, G. (2022). Measuring the Influence of Characteristics on Decision-Making Scenarios: A Prototype. In International Conference on Human-Computer Interaction (pp. 387-392). Springer, Cham.

Riehle, D. M., Fleischer, S., Becker, J. (2019). A Web-Based Information System to Evaluate Different Versions of IT Artefacts in Online Experiments. AIS Transactions on Enterprise Systems, Vol. 4 (No. 1).

Riehle, D. M., Fleischer, S., & Becker, J. (2018) Building a Web-Based Information System to Evaluate IT-Artefacts in Online Experiments - The Case of Intentional Forgetting. Paper presented at the Conference on Intentional Forgetting in Organisations and Work Settings, Potsdam, Germany.

Riehle, D. M., & Radas, J. (2019). Which Business Information do Decision-Makers need at Work? - Towards a Classification Framework . In Proceedings of the 21st Conference on Business Informatics (CBI) (pp. 312-319). IEEE. https://doi.org/10.1109/CBI.2019.00042

Thielsch M. T., Meeßen S. M., Hertel G. (2018). Trust and distrust in information systems at the workplace. PeerJ 6:e5483. DOI Google Scholar


FADEp

Becker, A., Kern-Isberner, G., Sauerwald, K., and Christoph Beierle. Forgetting formulas and signature elements in epistemic states. In Leila Amgoud and Richard Booth, editors, 19th International Workshop on Non-Monotonic Reasoning (NMR-2021), pages 233–242, 2021.

Beierle, C., Haldimann, J., and Leon Schwarzer. Observational equivalence of conditional belief bases. In Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023. (to appear).

Beierle, C., Ragni, M., Stolzenburg, F., and Matthias Thimm. Joining formal and cognitive reasoning. Journal of Applied Logics, 10(2):115–120, 2023.

Beierle, C., and Jonas Haldimann. Normal forms of conditional knowledge bases respecting system P-entailments and signature renamings. Ann. Math. Artif. Intell., 90(2):149–179, 2022.

Beierle, C., Haldimann, J., and Gabriele Kern-Isberner. Semantic splitting of conditional belief bases. In Alexander Raschke, Elvinia Riccobene, and Klaus-Dieter Schewe, editors, Logic, Computation and Rigorous Methods - Essays Dedicated to Egon Börger on the Occasion of His 75th Birthday, volume 12750 of LNCS, pages 82–95. Springer, 2021.

Beierle, C., Haldimann, J., and Steven Kutsch. A complete map of conditional knowledge bases in different normal forms and their induced system P inference relations over small signatures. In Eric Bell and Fazel Keshtkar, editors, Proceedings of the Thirty-Fourth International Florida Artificial IntelligenceResearch Society Conference, North Miami Beach, Florida, USA, May 17-19, 2021.

Beierle, C., Berndt, J. O., Gronau, N., and Timm, I. J. Intentional forgetting: A huge potential for organizations - interview with Prof. Norbert Gronau, University of Potsdam. KI – Künstliche Intelligenz 33, 1 (2019), 85–87. DOI Google Scholar

Beierle, C., Bock, T., Kern-Isberner, G., Ragni, M., and Sauerwald, K. Kinds and aspects of forgetting in common-sense knowledge and belief management. In KI 2018 (2018), F. Trollmann and A. Turhan, Eds., vol. 11117 of LNAI, Springer, pp. 366–373. DOI Google Scholar

Beierle, C., Kern-Isberner, G., Sauerwald, K., Bock, T., and Ragni, M. Towards a general framework for kinds of forgetting in commonsense belief management. KI – Künstliche Intelligenz 33, 1 (2019), 57–68. DOI Google Scholar

Beierle, C., and Timm, I. J. Intentional forgetting: An emerging field in AI and beyond. KI – Künstliche Intelligenz 33, 1 (2019), 5–8. DOI Google Scholar

Brand, D., Dames, H., and Marco Ragni. Rule-based categorization: Measuring the cognitive costs of intentional rule updating. In J. Culbertson, A. Perfors, H. Rabagliati, and V. Ramenzoni, editors, Proceedings of the 44th Annual Conference of the Cognitive Science Society, 2022.

Brand, D., Dames, H., Ragni, M., Beierle, C., Sauerwald, K., Kern-Isberner, G., & Howey, D. (2021, 3.–5. März). Formale und empirische Methoden zur Untersuchung intentionaler Vergessensprozesse im Unternehmen [Konferenzbeitrag]. 67. GfA Frühjahrskongress Arbeit HumAIne gestalten, Bochum, Deutschland.

Dames, H., Kiesel, A., Ragni, M., and Christina U. Pfeuffer. Repeated failures to obtain directed forgetting effects for stimulus-action and stimulus-classification associations in lab and onlinesamples. In TeaP Conference 2023, Trier, Germany. ZPID (Leibniz Institute for Psychology), Mar. 2023.

Dames, H., Kiesel, A., Pfeuffer, C. U., and Marco Ragni. Intentional forgetting of habits? Combining list-method directed forgetting and item-specific stimulus-response priming. In J. Culbertson, A. Perfors, H. Rabagliati, and V. Ramenzoni, editors, Proceedings of the 44th Annual Conference of the Cognitive Science Society, 2022.

Dames, H., Kiesel, A., and Christina U. Pfeuffer. Evidence for a selective influence of short-term experiences on the retrieval of item-specific long-term bindings. Journal of Cognition, May 2022.

Dames, H., Brand, D., and Marco Ragni. Evidence for multiple mechanisms underlying list-method directed forgetting. In J. Culbertson, A. Perfors, H. Rabagliati, and V. Ramenzoni, editors, Proceedings of the 44th Annual Conference of the Cognitive Science Society, 2022.

Eiter, T., and Kern-Isberner, G. A brief survey on forgetting from a knowledge representation and reasoning perspective. KI – Künstliche Intelligenz 33, 1 (2019), 9–33. DOI Google Scholar

Kern-Isberner, G., Bock, T., Beierle, C., & Sauerwald, K. (2019). Axiomatic evaluation of epistemic forgetting operators . In Proceedings of the Thirty-Second International Flairs Conference (pp. 470-475). AAAI Publications.

Haldimann, J., Beierle, C., Kern-Isberner, G., and Thomas Meyer. Conditionals, infeasible worlds, and reasoning with system W. In Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023. (to appear).

Haldimann, J. Beierle, C., and Gabriele Kern-Isberner. Epistemic state mappings among ranking functions and total preorders. Journal of Applied Logics, 10(2):155–192, 2023.

Haldimann, J., and Christoph Beierle. Characterizing multipreference closure with system W. In Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, and Nico Potyka, editors, Scalable Uncertainty Management - 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings, volume 13562 of Lecture Notes in Computer Science, pages 79–91. Springer, 2022.

Haldimann, J. and Christoph Beierle. Inference with system W satisfies syntax splitting. In Gabriele Kern-Isberner, Gerhard Lakemeyer, and Thomas Meyer, editors, Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022, Haifa, Israel. July 31 - August 5, 2022, pages 405–409, 2022.

Haldimann, J., and Christoph Beierle. Properties of system W and its relationships to other inductive inference operators. In Ivan Varzinczak, editor, Foundations of Information and Knowledge Systems - 12th International Symposium, FoIKS 2022, Helsinki, Finland, June 20-23, 2022, Proceedings, volume 13388 of LNCS, pages 206–225. Springer, 2022.

Haldimann, J., Beierle, C., and Gabriele Kern-Isberner. Postulates for transformations among epistemic states represented by ranking functions or total preorders. In Leila Amgoud and Richard Booth, editors, 19th International Workshop on Non-Monotonic Reasoning (NMR-2021), pages 213–222, 2021.

Haldimann, J., Beierle, C., and Gabriele Kern-Isberner. Syntax splitting for iterated contractions, ignorations, and revisions on ranking functions using selection strategies. In Wolfgang Faber, Gerhard Friedrich, Martin Gebser, and Michael Morak, editors, Logics in Artificial Intelligence - 17th European Conference, JELIA 2021, Virtual Event, May 17-20, 2021, Proceedings, volume 12678 of LNCS, pages 85–100. Springer, 2021.

Haldimann, J., Sauerwald, K., von Berg, M., Kern-Isberner, G., and Christoph Beierle. Towards a framework of Hansson’s descriptor revision for conditionals. In The 36th ACM/SIGAPP Symposium on Applied Computing (SAC ’21), March 22–26, 2021, Virtual Event, Republic of Korea, pages 889–891, New York, NY, USA, 2021. ACM.

Haldimann, J., Sauerwald, K., von Berg, M., Kern-Isberner, G., and Christoph Beierle. Con- ditional descriptor revision and its modelling by a CSP. In Wolfgang Faber, Gerhard Friedrich, Martin Gebser, and Michael Morak, editors, Logics in Artificial Intelligence - 17th European Conference, JELIA 2021, Virtual Event, May 17-20, 2021, Proceedings, volume 12678 of LNCS, pages 35–49. Springer, 2021.

Haldimann, J., Kern-Isberner, G., and Christoph Beierle. Syntax splitting for iterated contractions. In Diego Calvanese, Esra Erdem, and Michael Thielscher, editors, Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, KR 2020, Rhodes, Greece, September 12-18, 2020, pages 465–475, 2020.

Heyninck, J., Kern-Isberner, G., Meyer, T., Haldimann, J., and Christoph Beierle. Con- ditional syntax splitting for non-monotonic inference operators. In Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2022. AAAI Press, 2023. (to appear).

Kern-Isberner, G., Sezgin, M., and Christoph Beierle. A kinematics principle for iterated revision. Artif. Intell., 314:103827, 2023.

Kern-Isberner, G., Heyninck, J., and Christoph Beierle. Conditional independence for iterated belief revision. In Luc De Raedt, editor, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, pages 2690–2696. ijcai.org, 2022.

Kern-Isberner, G., Bock, T., Sauerwald, K., and Beierle, C. Iterated contraction of propositions and conditionals under the principle of conditional preservation. In Proceedings 3rd Global Conference on Artificial Intelligence, GCAI 2017 (2017), C. Benzmüller, C. Lisetti, and M. Theobald, Eds., vol. 50, EPiC Series in Computing, pp. 78–92. DOI Google Scholar

Kern-Isberner, G., Bock, T., Sauerwald, K., & Beierle, C. (2019). Belief Change Properties of Forgetting Operations over Ranking Functions. In Nayak, A., & Sharma, A. (Eds.), PRICAI 2019: Trends in Artificial Intelligence (pp. 459-472). Springer. https://doi.org/10.1007/978-3-030-29908-8_37

Ragni, M., Kern-Isberner, G., Beierle, C., and Kai Sauerwald. Cognitive logics - features, formalisms, and challenges. In Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, and Jérôme Lang, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), volume 325 of Frontiers in Artificial Intelligence and Applications, pages 2931–2932. IOS Press, 2020.

Ragni, M., Sauerwald, K., Bock, T., Kern-Isberner, G., Frie-mann, P., and Beierle, C.Towards a formal foundation of cognitivearchitectures. In Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, USA, 25-28 July 2018(2018), C. Kalish, M. Rau, J. Zhu, and T. Rogers, Eds., cognitivesciencesociety.org, pp. 2321–2326.

Sauerwald, K. Semantics of Belief Change Operators for Intelligent Agents: Iteration, Postulates, and Realizability, volume 352 of Dissertations in Artificial Intelligence. IOS Press, 2022

Sauerwald, K., and Christoph Beierle. Iterated belief change, computationally. In Gabriele Kern-Isberner, Gerhard Lakemeyer, and Thomas Meyer, editors, Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022, Haifa, Israel. July 31 - August 5, 2022, pages 410–414, 2022.

Sauerwald, K., Kern-Isberner, G., Becker, A., and Christoph Beierle. From forgetting signature elements to forgetting formulas in epistemic states. In Florence Dupin de Saint-Cyr, Meltem Öztürk- Escoffier, and Nico Potyka, editors, Scalable Uncertainty Management - 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings, volume 13562 of Lecture Notes in Computer Science, pages 92–106. Springer, 2022.

Sauerwald, K., Haldimann, J., von Berg, M., and Christoph Beierle. Descriptor revision for conditio- nals: Literal descriptors and conditional preservation. In Ute Schmid, Franziska Klügl, and Diedrich Wolter, editors, KI 2020: Advances in Artificial Intelligence - 43rd German Conference on AI, Bamberg, Germany, September 21-25, 2020, Proceedings, volume 12325 of LNCS, pages 204–218. Springer, 2020.

Sauerwald, K., Kern-Isberner, G., and Christoph Beierle. A conditional perspective for iterated belief contraction. In Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, and Jérôme Lang, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, volume 325 of Frontiers in Artificial Intelligence and Applications, pages 889–896. IOS Press, 2020.

Sauerwald. K., Student research abstract: Modelling the dynamics of forgetting and remembering by a system of belief changes. In The 34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19), April 8–12, 2019, Limassol, Cyprus, New York, NY, USA, 2019. ACM.

Sauerwald, K., Ragni, M., Bock, T., Kern-Isberner, G., and Beierle, C.On a formalization of cognitive architectures (abstract).In Proceedings of the 14th Biannual Conference of the German Societyfor Cognitive Science KogWis 2018(2018), C. Rothkopf, D. Balfanz,R. Galuske, F. Jäkel, K. Kersting, J. Macke, and B. Mohler, Eds., p. 57.

Sezgin, M., Kern-Isberner, G., and Christoph Beierle. Ranking kinematics for revising by contextual information. Ann. Math. Artif. Intell., 89(10-11):1101–1131, 2021.

Straub, E. R., Dames, H., Kiesel, A., and David Dignath. Does body posture reduce the stroop effect? evidence from two conceptual replications and a meta-analysis. Acta Psychologica, 224:103497, 2022.

Timm, I. J., Staab, S., Siebers, M., Schon, C., Schmid, U., Sauerwald, K., Reuter, L., Ragni, M., Niederée, C., Maus, H., Kern-Isberner, G., Jilek, C., Friemann, P., Eiter, T., Dengel, A., Dames, H., Bock, T., Berndt, J. O., and Christoph Beierle. Intentional forgetting in artificial intelligence systems: Perspectives and challenges. In Frank Trollmann and Anni-Yasmin Turhan, editors, KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, Berlin, Germany, September 24-28, 2018, Proceedings, volume 11117 of LNAI, pages 357–365. Springer, 2018

Timm, I. J., Herzog, O., Berndt, J. O., and Beierle, C. Intentional forgetting must be part of the functionality - interview with Prof. Otthein Herzog, Jacobs University Bremen, University of Bremen, and Tongij Uni-versity, Shanghai. KI – Künstliche Intelligenz 33, 1 (2019), 89–91.

Wilhelm, M., Howey, D., Kern-Isberner, G., Sauerwald, K., and Christoph Beierle. Activation-based conditional inference. Journal of Applied Logics, 10(2):221–248, 2023.

Wilhelm, M., Howey, D., Kern-Isberner, G., Sauerwald, K., and Christoph Beierle. Integrating cognitive principles from ACT-R into probabilistic conditional reasoning by taking the example of maximum entropy reasoning. In Fazel Keshtkar and Michael Franklin, editors, Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference (FLAIRS), Hutchinson Island, Florida, USA, May 15-18, 2022, 2022.

Wilhelm, M., Howey, D., Kern-Isberner, G., Sauerwald, K., and Christoph Beierle. A brief introduction into activation-based conditional inference. In Christoph Beierle, Marco Ragni, Frieder Stolzenburg, and Matthias Thimm, editors, Proceedings of the 7th Workshop on Formal and Cognitive Reasoning co-located with the 44th German Conference on Artificial Intelligence (KI 2021), September 28, 2021, volume 2961 of CEUR Workshop Proceedings, pages 4–8. CEUR-WS.org, 2021.


Managed Forgetting

Bakhshizadeh, M., Jilek, C., Maus, H., Dengel, A. Leveraging Context-aware Recommender Systems for Improving Personal Knowledge Assistants by Introducing Contextual States. In: Proceedings of the "Lernen, Wissen, Daten, Analysen – Learning, Knowledge, Data, Analytics" (LWDA) 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, CEUR Workshop Proceedings, Vol. 2993, 1, 2021.

Ceroni, A., Ma, C. and Ewerth, R. 2018. Mining Exoticism from Visual Content with Fusion-based Deep Neural Networks. Proc. of the 2018 ACM Int’l Conf. on Multimedia Retrieval (2018), 37–45. DOI Google Scholar

Ceroni, A. Personal Photo Management and Preservation, In: Personal Multimedia Preservation: Remembering or Forgetting Images and Video (Springer Series on Cultural Computing), edited by Vasileios Mezaris, Claudia Niederée, and Robert H. Logie, Springer, Cham. DOI Google Scholar

Ceroni, A. , Solachidis, V. , Niederée, C. , Papadopoulou, O. and Mezaris, V. Expo: An Expectation-oriented System for Selecting Important Photos from Personal Collections Proceedings of the 7th International Conference on Multimedia Retrieval (ICMR), 2017. DOI Google Scholar

Dengel, A. and Maus, H. (2018). Personalisierte Wissensdienste: Das Unternehmen denkt mit. IM+io Fachmagazin. 3, 46–49.

Ellwart, T., Ulfert, A. S., Antoni, C. H., Becker, J., Frings, C., Göbel, K., Hertel, G., Kluge, A., Meeßen, S., Niessen, C., Nohe, C., Riehle, D., Runge, Y., Schmid, U., Schüffler, A., Siebers, M., Sonnentag, S., Tempel., T., Thielsch, M. T., & Wehrt, W. (2019). Intentional forgetting in socio-digital work systems: system characteristics and user-related psychological consequences on emotion, cognition, and behaviour. AIS Transactions on Enterprise Systems, 4(1). DOI

Gallo, F., Niederée, C., Allasia, W. Bridging Information Management and Preservation: A Reference Model. In: Personal Multimedia Preservation: Remembering or Forgetting Images and Video, pp. 183-229", Springer, 2018.

Gauselmann, P., Frings, C., Tempel, T. Cognitive offloading benefits eye gaze interaction (under review)

Gauselmann, P., Frings, C., Schmidt, M., Tempel, T. Protecting Against Mental Impasses: Evidence of Selective Retrieval Mitigating the Impact of Fixation in Creative Problem Solving (under review)

Gauselmann, P., Runge, Y., Jilek, C., Frings, C., Maus, H., Tempel, T. A Relief from Mental Overload in a Digitalized World: How Context-sensitive User Interfaces Can Enhance Cognitive Performance. In: International Journal of Human-Computer Interaction 39.1 (2023), pp. 140-150. DOI: 10.1080/10447318.2022.2041882 DOI

Geißler, C., Gauselmann, P., Jilek, C., Maus, H., Frings, C. and T. Tempel. Shedding light on the prefrontal correlates of cognitive offloading: A functional near-infrared spectroscopy study to the supportive effects of a personal knowledge assistant (under review)

Heim, D., Jilek, C., Maus, H., Dengel, A. A Retrospective Context Mining Approach for Bootstrapping Personal Knowledge Assistants. In: Proceedings of the "Lernen, Wissen, Daten, Analysen – Learning, Knowledge, Data, Analytics" (LWDA) 2022 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, CEUR Workshop Proceedings, 2022

Hertling, S., Schröder, M., Jilek, C. and Dengel, A. 2017. Where is that Button again?! – Towards a Universal GUI Search Engine. Proc. of the 9th Int’l Conf. on Agents and Artificial Intelligence (ICAART-17) (2017), 217–227. DOI Google Scholar

Jilek, C., Schröder, M., Maus, H., Schwarz, S., Dengel, A. Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories (under review)

Jilek, C., Chwalek, J., Schwarz, S., Schröder, M., Maus, H., & Dengel, A. (2018). Advanced Memory Buoyancy for Forgetful Information Systems . In Conference on Intentional Forgetting in Organizations and Work Settings (CoInFo). AIS Transactions on Enterprise Systems.

Jilek, C., Chwalek, J., Schwarz, S., Schröder, M., Maus, H., & Dengel, A. (2019). Advanced Memory Buoyancy for Forgetful Information Systems. AIS Transactions on Enterprise Systems. [Special Issue] AES: Intentional Forgetting in Organizations and Work Settings, 4(1). https://doi.org/10.30844/aistes.v4i1.11

Jilek C., Gauselmann, P., Chwalek, J., Tempel, T., & Dengel., A. (2021). Quantifying Benefits of a Personal Knowledge Assistant on Task Resumption . In Bericht zum 67. GfA Frühjahrskongress Arbeit HumAIne gestalten. GfA-Press.

Jilek, C., Runge, Y., Niederée, C., Maus, H., Tempel, T., Dengel, A. and Frings, C. 2018. Managed Forgetting to Support Information Management and Knowledge Work. KI – Künstliche Intelligenz. Special Issue Intentional Forgetting. (2018). DOI I Google Scholar

Jilek, C., Schröder, M., Schwarz, S., Maus, H. and Dengel, A. 2018. Context Spaces as the Cornerstone of a Near-Transparent and Self-Reorganizing Semantic Desktop. The Semantic Web: ESWC 2018 Satellite Events (2018), 89–94. DOI I Google Scholar

Jilek, C., Schröder, M., Novik, R., Schwarz, S., Maus, H. and Dengel, A. 2018. Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications. Computing Research Repository. arXiv:1812.02119, (2018). Google Scholar

Jilek C., Schwarz S., Maus H., Dengel A. (2016) Managed Forgetting, Data Condensation & Preservation in Application. UbiComp Adjunct 2016: 1046-1053. DOI I Google Scholar

Maus H., Jilek C., Schwarz S. (2018) Remembering and Forgetting for Personal Preservation, In: Personal Multimedia Preservation: Remembering or Forgetting Images and Video, edited by Mezaris/Niederée/Logie, Springer, Cham. DOI Google Scholar

Naini, K.D., Kawase, R., Kanhabua, N., Niederée, C. and Altingovde, I.S. 2018. Those were the days: learning to rank social media posts for reminiscence. Information Retrieval Journal. (Aug. 2018). DOI Google Scholar

Niederée, C., Kanhabua, N., Tran, T. and Naini, K.D. 2018. Preservation Value and Managed Forgetting. Personal Multimedia Preservation: Remembering or Forgetting Images and Video. Springer. 101–129. DOI Google Scholar

Riss, U., Maus, H., Javaid, S., Jilek, C. Digital Twins of an Organization for Enterprise Modeling. In: The Practice of Enterprise Modeling – 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2020), Riga, Latvia, November 25-27, Proceedings, pp. 25-40, Springer, 2020.

Runge, Y., Frings, C., Tempel, T., & Pastötter, B. (2021). Electrophysiological correlates of saving-enhanced memory: Exploring similarities to list-method directed forgetting. European Journal of Neuroscience, 54, 6060–6074.

Runge, Y., Frings, C. and Tobias Tempel. Specifying the mechanisms behind benefits of saving-enhanced memory. In: Psychological Research 85.4 (June 2021), pp. 1633–1644. DOI: 10.1007/s00426-020-01341-0 DOI

Runge, Y., Frings, C., & Tempel, T. (2019). Saving-Enhanced Performance: Saving items after study boosts performance in subsequent cognitively demanding tasks.  Memory, 27, 1462-1467. DOI: 10.1080/09658211.2019.1654520 DOI

Runge, Y., Frings, C. & Tempel, T. (2017). Interference From Deleting: An Extension of the Phenomenon of Saving- Enhanced Memory. Abstracts of the Psychonomic Society, 22, 79.

Runge, Y., Frings, C. & Tempel, T. (2018). Are You Sure You Want to Delete This? The Costs of Losing the Possibility of Memory Offloading for Subsequent Memory Performance. Talk at the 60th Tagung experimentell arbeitender Psychologen (TeaP), March 2018, Marburg, Germany.

Runge, Y., Frings, C. and Tempel, T. 2018. Effizienteres Wissensmanagement durch Saving-Enhanced Memory? Wie uns das Speichern von Informationen befreit und folgende Arbeiten erleichtert. 51. Kongress der Deutschen Gesellschaft für Psychologie (2018), 416.

Runge, Y., Frings, C. and Tempel, T. 2018. Hiding to hedge against information overload – Diverging distraction effects due to task-irrelevant information from misleading associations. AIS Special Issue: Intentional Forgetting in Organizations and Work Settings – Conf. on Intentional Forgetting in Organizations and Work Settings (CoInFo 2018), Potsdam, Germany, September 11-12, 2018.

Runge, Y., Frings, C., & Tempel, T. (2019). Hiding to hedge against information overload – Diverging distraction effects due to task-irrelevant information from misleading associations. AIS Transactions on Enterprise Systems. [Special Issue] AES: Intentional Forgetting in Organizations and Work Settings, 4(1). https://doi.org/10.30844/aistes.v4i1.12

Schröder, M., Jilek, C., Dengel, A. A Human-in-the-Loop Approach for Personal Knowledge Graph Construction from File Names. In: Proceedings of the 3rd International Workshop on Knowledge Graph Construction (KGCW 2022) at 19th Extended Semantic Web Conference (ESWC 2022), May 29 - June 2, Hersonissos, Greece, 2022

Schröder, M., Jilek, C., Dengel, A. Dataset Generation Patterns for Evaluating Knowledge Graph Construction. In: The Semantic Web: ESWC 2021 Satellite Events – ESWC 2021 Satellite Events, Virtual Event, June 6-10, Revised Selected Papers, pp. 27-32, Springer, 2021.

Schröder, M., Jilek, C., Dengel, A. In: Interactive Concept Mining on Personal Data – Bootstrapping Semantic Services. Computing Research Repository (CoRR), abs/1903.05872 (2019).

Schröder, M., Jilek, C. and Dengel, A. 2018. Deep Linking Desktop Resources. The Semantic Web: ESWC 2018 Satellite Events (2018), 202–207. DOI Google Scholar

Schröder M., Jilek C., Hees J., Hertling S., and Dengel A. (2017) RDF Spreadsheet Editor: Get (G)rid of Your RDF Data Entry Problems, ISWC 2017. Google Scholar

Schröder, M., Jilek, C., Hees, J. and Dengel, A. and 2018. Towards Semantically Enhanced Data Understanding. Computing Research Repository. arXiv:1806.04952, (2018). PDF Google Scholar

Schröder, M., Jilek, C., Hees, J., Hertling, S. and Dengel, A. 2018. An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor. Computing Research Repository. arXiv:1804.04175, (2018). PDF Google Scholar

Schulze, M., Pelzer, M., Schröder, M., Jilek, C., Maus, H., Dengel, A. Towards Knowledge Graph Based Services in Accounting Use Cases. In: SEMANTiCS 2022, Vienna, Austria & Online, September 13-15, 2022.

Tempel, T., Frings, C. (2019). Directed forgetting in problem solving. Acta Psychologica, 201, 102955. DOI: 10.1016/j.actpsy.2019.102955. DOI

Tempel, T., Niederée, C., Jilek, C., Ceroni, A., Maus, H., Runge, Y., & Frings, C. (2019). Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science. Interacting with Computers, iwz013. DOI

Thi Huyen Nguyen and Koustav Rudra. Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human Budget. In Proceedings of the ACM Web Conference (April 2023), pp. 3959–3967, DOI: 10.1145/3543507.3583861. DOI

Thi Huyen Nguyen and Koustav Rudra. Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (October 2022), pp. 1552-1562, DOI: 10.1145/3511808.3557426. DOI

Thi Huyen Nguyen and Koustav Rudra. CrisICSum: Interpretable Classification and Summarization Platform for Crisis Events from Microblogs. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (October 2022), pp. 4941-4945, DOI: 10.1145/3511808.3557191. DOI

Thi Huyen Nguyen and Koustav Rudra. Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs. In: Proceedings of the ACM Web Conference (April 2022), pp. 3641-3650, DOI: 10.1145/3485447.3512259. DOI

Thi Huyen Nguyen and Koustav Rudra. L3S at the TREC 2022 CrisisFACTS Track. In Proceedings of the 31st Text Retrieval Conference, 2022.

Thi Huyen Nguyen, Tu Nguyen, Tuan-Anh Hoang, Claudia Niederée. On the Feasibility of Predicting Questions being Forgotten in Stack Overflow. Computing Research Repository (CoRR), abs/2110.15789, 2021.

Thi Huyen Nguyen, Hoang H. Nguyen, Zahra Ahmadi, Tuan-Anh Hoang, Thanh-Nam Doan. On the Impact of Dataset Size:A Twitter Classification Case Study. In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 210-217, 2021.

Thi-Huyen Nguyen, Tuan-Anh Hoang 2019. Efficient Summarizing of Evolving Events from Twitter Streams. Proc. of the 2019 SIAM Int’l Conf. on Data Mining. (2019).

Timm, I. J., Staab, S., Siebers, M., Schon, C., Schmid, U., Sauerwald, K., Reuter, L., Ragni, M., Niederée, C., Maus, H., Kern-Isberner, G., Jilek, C., Friemann, P., Eiter, T., Dengel, A.,Dames, H., Bock, T., Berndt, J. O., and Beierle, C. Intentional forgetting in artificial intelligence systems: Perspectives and challenges. In KI 2018: Advances in Artificial Intelligence - 41st German Conference onAI, Berlin, Germany, September 24-28, 2018, Proceedings(2018), F. Troll-mann and A. Turhan, Eds., vol. 11117 ofLNAI, Springer, pp. 357–365. DOI I Google Scholar

Tran, T. , Schwarz, S. , Niederée, C. , Maus, H. and Kanhabua, N. The Forgotten Needle in My Collections: Task-Aware Ranking of Documents in Semantic Information Space Proceedings of the 1st ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), 2016. DOI Google Scholar

Tran, N. K., Tran, T., Niederée, C. Beyond Time: Dynamic Context-Aware Entity Recommendation. ESWC 2017: 353-368. DOI Google Scholar

Tuan-Anh Hoang, Thi Huyen Nguyen, Wolfgang Nejdl. Efficient Tracking of Breaking News in Twitter. In: Proceedings of the 10th ACM Conference on Web Science, pp. 135-136, 2019.

Ulfert-Blank, A.-S., Knabe, J., Jilek, C. Forgetting-enabled AI systems: Exploring the role of transparency perceptions and trust (accepted short paper, extended journal paper in preparation).


Cyber-physical Forgetting in sozio-digitalen Systemen

Ellwart, T., Ulfert, A.-S., Antoni, C., Becker, J., Frings, C., Göbel, K., Hertel, G., Kluge, A., Meeßen, S., Niessen, C., Nohe, C., Riehle, D., Runge, Y., Schmid, U., Schüffler, A., Siebers, M., Sonnentag, S., Tempel, T., Thielsch, M., Wehrt, W. (2020) Forgetting in future work systems: System characteristics and user-related psychological consequences on emotion, cognition, and behaviors. AES Transactions on Enterprise Systems, Vol 4 No 1 (2019): Special Issue: Intentional Forgetting in Organizations and Work Settings, aes DOI

Ellwart, T., Kluge, A. (2018). Psychological Perspectives on Intentional Forgetting: An Overview of Concepts and Literature. Springer: Berlin Heidelberg. DOI Google Scholar

Gronau, N., Kluge, A., Haase, Jennifer and Christof Thim. Experiential Learning Factories: Bridging the Gap between Lab and Field Experiments (June 5, 2023). SSRN DOI

Gronau, N., Hafner, J., Thim, C. (2020). Introduction to the Minitrack on Innovation in Organizations: Learning, Unlearning, and Intentional Forgetting. DOI

Gronau, N., Hafner, J., & Thim, C. (2020, 7.–10. Januar). Innovation in Organizations: Learning, Unlearning, and Intentional Forgetting [Konferenzbeitrag]. 53nd Hawaii International Conference on System Science, Maui, Hawaii, Vereinigte Staaten von Amerika.

Grum, M., Thim, C. Roling, W.M., Schüffler, A.S., Kluge, A., & Gronau, N. (2023) AI Case-Based Reasoning for Artificial Neural Networks. In Proceedings of Artificial Intelligence & Industrial Applications A2IA'2023, 17 - 18 Feb, 2023. Meknes, Morocco.

Haase, J., Matthiesen, J., Schüffler, A. S., & Kluge, A. (2020, 7.–10. Januar). Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes [Konferenzbeitrag]. 53nd Hawaii International Conference on System Science, Maui, Hawaii, Vereinigte Staaten von Amerika. DOI

Haase, J., & Schüffler, A. (2019, Januar). Studying cue-dependent and intentional forgetting in organizations: a methodological approach. Paper presented at HICSS 2019, Wailea. DOI

Hielscher, J., Kluge, A., Menges, U. & Sasse, M. A. (2021). "Taking out the Trash": Why Security Behavior Change requires Intentional Forgetting. NSPW '21: New Security Paradigms Workshop, 108–122. DOI

Kluge, A., Antoni, C. H., & Ellwart, T. (2020). Digitalization as the Problem of and the Solution to Vast Amounts of Data in Future Work – Challenges for Individuals, Teams, and Organizations.Zeitschrift Für Arbeits- Und Organisationspsychologie A&O , 64 (1), 1–5. https://doi.org/10.1026/0932-4089/a000317

Kluge, A., Schüffler, A., Thim, C., Haase, J. and Gronau, N. (2019). Investigating unlearning and forgetting in organizations: Research methods, designs and implications, The Learning Organization, Vol. 26 No. 5, pp. 518-533.
DOI Google Scholar

Kluge, A. & Gronau, N. (2018). Intentional Forgetting in Organizations: The Importance of Eliminating Retrieval Cues for Implementing New Routines. Frontiers in Psychology: Organizational Psychology. DOI Google Scholar

Kluge (2018). Wer braucht (noch) HRM in einer 100% digitalen Produktion. Vortrag bei beim Symposium der DECHEMA in Tutzing, 16.April 2018.

Kluge, A., Schüffler, A., Thim, C., Vladova, G. & Gronau, N. (2018). Putting intentional organisational forgetting to an empirical test: Using experimental designs to measure forgetting of organisational routines. _Proceedings of the IFKAD Conference at the Technical University of Delft, 4.-6.July 2018. Google Scholar

Roling, W., Schüffler, A., Thim, C. Grumm, M., Gronau, N. & Kluge, A. (2023). Human Behavior in the Context of Continuous Change – An Exploratory Analysis in a Research and Application Center Industry 4.0, HICSS Conference 2023 Hawaii Proceedings of the 56th Hawaii International Conference on System Sciences, Page 4828- 4837. handle.net

Roling, W., Schüffler, A. S., Thim, C., Gronau, N., & Kluge, A. (2021, 3.–5. März). Der Einfluss von Zeitdruck auf das willentliche Vergessen veralteter Produktionsroutinen [Konferenzbeitrag]. 67. GfA Frühjahrskongress Arbeit HumAIne gestalten, Bochum, Deutschland.

Schüffler, A., Schwier, I., Kluge, A. & Gronau, N. (2017). Organisationsentwicklung: Gewolltes Vergessen als Jungbrunnen. SW Sozialwirtschaft, 27, Heft 2,S. 32 - 33. DOI Google Scholar

Schüffler, A. S., Thim, C., Haase, J., Gronau, N., & Kluge, A. (2020). Information Processing in the Work Environment 4.0 and the Beneficial Impact of Intentional Forgetting for Change Management. Zeitschrift für Arbeits- und Organisationspsychologie A&O, 64(1), 17–29. DOI I Google Scholar

Schüffler, A., Thim, C., Haase, J., Gronau, N., & Kluge, A. (2019). Willentliches Vergessen – Voraussetzung für Flexibilität und Veränderungsfähigkeit in einer sich permanent verändernden Welt. Gruppe. Interaktion. Organisation. Zeitschrift Für Angewandte Organisationspsychologie (GIO). DOI Google Scholar

Thim, C., Gronau, N., Haase J., Grum, M., Schüffler A., Roling, W.M. & Kluge, A. (2023). Modeling Change in Business Processes. In Business Modeling and Software Design: 13th International Symposium, BMSD 2023, Utrecht, Netherlands, July 3–5, 2023, Lecture Notes in Business Information Processing (pp. 224-242). vol. 483, Springer International Publishing.

Thim, C., Grum, M., Schüffler A., Roling, W., Kluge A., Gronau N. (2022) A Concept for a Distributed Interchangeable Knowledge Base in CPPS. In: Andersen AL. et al. (eds) Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. CARV 2021, MCPC 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. DOI

Thim, C., Gronau, N., Kluge, A., Tsui, E., & Kern-Isberner, G. (2019, Januar). Introduction to the Minitrack on Intentional Forgetting in Organizations and Information Systems. Paper presented at HICSS 2019, Wailea. DOI

Thim, C., Gronau, N., & Kluge, A. (2019, Januar). Managing Change Through a Work Environment Which Promotes Forgetting. Paper presented at HICSS 2019, Wailea. DOI


Dare2Del

Ellwart, T., Ulfert, A.-S., Antoni, C., Becker, J.,  Frings, C., Göbel, K., … …Wehrt, W. (2019). Forgetting in future work systems: System characteristics and user-related psychological consequences on emotion, cognition, and behaviors. AIS Transactions on Enterprise Systems, 4, 1-19. DOI

Ellwart, T., Ulfert, A.-S., Antoni, C., Becker, J.,  Frings, C., Göbel, K., … Wehrt, W. (2018, September). Forgetting in future work systems: System characteristics and user-related psychological consequences on emotion, cognition, and behaviors. Presentation at the Conference on Intentional Forgetting in Organizations and Work Settings, Potsdam.

Göbel, K., & Niessen, C. (in preparation). Deleting and organizing irrelevant files can improve concentration and work performance – but only when people are able to mentally let them go. Friedrich-Alexander-Universität Erlangen-Nürnberg.

Göbel, K., & Niessen, C. (2023, May). Deleting and organizing irrelevant files can improve concentration and work performance – but only when people are able to mentally let them go. Presented at the 21st European Association of Work and Organisational Psychology Congress in Katowice, Poland.

Göbel, K., & Niessen, C. (2022, September). Bitte löschen! – Experimente zur Unterstützung der Strukturierung der externalen wie internalen Arbeitsumgebung durch Assistenzsysteme. Presented at the 52nd Conference of the German Society for Psychology, Frankfurt, Germany.

Göbel, K., Niessen C., Seufert, S., & Schmid, U. (2022). Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations. Frontiers in Artificial Intelligence, 5, Article 919534. DOI

Göbel, K. (2022). Thought control in the work context. (Doctoral thesis). Friedrich-Alexander-Universität Erlangen-Nürnberg. urn:nbn:de:bvb:29-opus4-206970 DOI

Göbel, K., Hensel, L., Schultheiss, O. C., & Niessen, C. (2022). Meta-analytic evidence shows no relationship between task-based and self-report measures of thought control. Applied Cognitive Psychology, 36(3), 659-672. DOI

Göbel, K., & Niessen, C. (2021, September). Methodische Zugänge zur Erfassung der Inhibition von störenden Gedanken: Subjektive und objektive Methoden im Vergleich. Presentation at the 12th Conference of the section Work, Organizational and Business Psychology of the German Psychological Society, Chemnitz, Germany.

Göbel, K., Niessen, C., Nandini, D., & Schmid, U. (2021, 3.–5. März). Die Rolle von Erklärungen in partnerschaftlichen KI-Systemen: Wem helfen Erklärungen in welchen Situationen wie gut? [Konferenzbeitrag]. 67. GfA Frühjahrskongress Arbeit HumAIne gestalten, Bochum, Deutschland.

Göbel, K., & Niessen, C. (2021). Thought control in daily working life: How the ability to stop thoughts protects self‐esteem. Applied Cognitive Psychology. DOI

Göbel, K., & Niessen, C. (2018). Forget it – if you can! How the ability to forget protects self-esteem. Presented at the Conference on Intentional Forgetting in Organisations and Work Settings, Potsdam.

Göbel, K., & Niessen, C. (2018). Forget it – if you can! Wie die Fähigkeit zu vergessen den Selbstwert schützt (conference contribution). DGPs Kongress, Frankfurt.

Gromowski, M., Müller, D., and Ute Schmid (2021). Exploiting Temporal Relations ofEvents for Classification Tasks – Proof of Concept Study with Synthetic Data Sets. Late Breaking Papers, ILP@IJCLR – 1st International Joint Conference on Reasoning and Learning 2021.PDF

Gromowski, M., Siebers, M., & Schmid, U. (2020). A process framework for inducing and explaining Datalog theories. Advances in Data Analysis and Classification, 14(4), 821-835.

Grünauer, S., & Schmid, U. (2018). Investigating Michie's operational effectiveness criterion of machine learned models. In Proceedings of the KogWis 2018 (p. 18).

Muggleton, S. H., Schmid, U., Zeller, C., Tamaddoni-Nezhad, A., & Besold, T. (2018). Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. Machine Learning, 107(7), 1119-1140.DOI

Nandini, D., and Ute Schmid (2022). Explaining Hate Speech Classification with Model-Agnostic Methods. KI 2022 Workshop on Text Mining and Generation (TMG).PDF

Niessen, C. ; Göbel, K. ; Siebers, M. & Schmid, U. (2017): Intentionales Vergessen im Arbeitsalltag: Eine Critical Incident Untersuchung. Vortrag auf der Fachgruppentagung AOW, Dresden.

Niessen, C., Göbel, K., Siebers, M., & Schmid, U. (2018). Forget it – delete it? Das Löschen von Informationen im Arbeitsalltag. Presented at the 51th Conference of the German Society for Psychology, Frankfurt, Germany.

Niessen, C., Göbel, K., Siebers, M., & Schmid, U. (2019). Time to Forget. Zeitschrift für Arbeits-und Organisationspsychologie A&O, 64 (1), 30-45. https://doi.org/10.1026/0932-4089/a000308

Niessen, C., & Göbel., K. (2018). When persons intentionally forget at work: The role of interindividual differences in retrieval suppression and challenging work demands. Presented at the Conference on Intentional Forgetting in Organisations and Work Settings, Potsdam.

Niessen, C., Göbel, K., Lang, J. W. B., & Schmid, U. (2020). Stop Thinking: An Experience Sampling Study on Suppressing Distractive Thoughts at Work. Frontiers in Psychology, 11, 1616. https://doi.org/10.3389/fpsyg.2020.01616


Niessen, C., & Lang, J. W. B. (2020). Cognitive control strategies and adaptive performance in a complex work task. Journal of Applied Psychology. Advanced online publication. DOI

Rabold, J., Siebers, M., & Schmid, U. (2022). Generating contrastive explanations for inductive logic programming based on a near miss approach. Machine Learning, 111(5), 1799-1820.

Schmid, U.(2022). Interactive Learning with Mutual Explanations in Relational Domains. In Stephen H. Muggleton, Nicholas Chater (Eds.) Human-like Machine Intelligence, 338-354. Oxford University Press.

Schmid, U., Zeller, C., Besold, T. Tamaddoni-Nezhad, A., Muggleton, S. (2017). How does predicate invention affect human comprehensibility? In: Cussens, J. Russo.; Antonina (Hrsg.), Selected revised papers of Inductive Logic Programming - 26th International Conference (ILP'16, London, 4th - 6th September 2016), 52- 67 Springer LNCS. DOI Google Scholar

Siebers, M. (2016). Learning complex sequential patterns in Progol. In: Hernandez-Orallo, J., Muggleton, S., Schmid, U., Zorn, B.: Approaches and Applications of Inductive Programming, Dagstuhl Reports 5, Nr. 10.

Siebers, M., Göbel, K., Niessen, C., Schmid, U. (2017). Requirements for a companion system to support identifying irrelevancy. In: IEEE-SMCS, 2nd International Conference on Companion Technology (Ulm, 11.-13.9.17). DOI Google Scholar

Siebers, M., Schmid, U., Göbel, K., & Niessen, C. (2017). A psychonic approach to the design of a cognitive companion supporting intentional forgetting . Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten. Universität der Bundeswehr München. http://dx.doi.org/10.17185/duepublico/44537

Siebers, M., & Schmid, U. (2019). Please Delete That! Why Should I? KI - Künstliche Intelligenz. DOI Google Scholar

Siebers, M., & Schmid, U. (2018). Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol. In: Proceedings of ILP, 2018, 141–156. DOI Google Scholar


iVAA

Langel, F., Law, Y. C., Wehrt, W., & Weyers, B. (2018). A virtual reality framework to validate persuasive interactive systems to change work habits. Mensch und Computer 2018-Workshopband.

Law, Y. C., Wehrt, W., Sonnentag, S., & Weyers, B. (2023). Obtaining semi-formal models from qualitative data: From interviews into bpmn models in user-centered design processes. International Journal of Human–Computer Interaction, 39(3), 476-493.

Law, Y. C., Wehrt, W., Sonnentag, S., & Weyers, B. (2017). Generation of information systems from process models to support intentional forgetting of work habits. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems (pp. 27-32). ACM. DOI Google Scholar

Sonnentag, S., Wehrt, W., Weyers, B., & Law, Y. C. (2022). Conquering unwanted habits at the workplace: Day-level processes and longer term change in habit strength. Journal of Applied Psychology, 107(5), 831.

Sonnentag, S., Wehrt, W., Weyers, B., & Law, Y. C. (2019). Conquering unwanted habits at the workplace: A daily-survey approach. Accepted for presentation at the 79th Annual Meeting of the Academy of Management, August 9-13, 2019, Boston (MA).


COFFEE

Dworschak, F.; Kügler, P.; Schleich, B.; Wartzack, S. (2021). Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization. Applied Sciences 2021, 11:21, pp. 9825.

Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., and Wortmann, T. (2022). Inferential Reasoning in Co-Design Using Semantic Web Standards alongside BHoM. Proceedings of 33. Forum Bauinformatik.

Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., and Wortmann, T. (2022). Knowledge Graphs for Multidisciplinary Co-Design: Introducing RDF to BHoM. In Proceedings of LDAC2022 - 10th Linked Data in Architecture and Construction Workshop. LDAC2022 - 10th Linked Data in Architecture and Construction Workshop, Hersonissos, Greece.

Galárraga, L., Hernández, D. Katim, A., and Hose, K. (2023). Visualizing How-Provenance Explanations for SPARQL Queries. WWW '23: Companion Proceedings of the ACM Web Conference 2023, Austin, Texas, USA, April 30 - May 4, 2023. ACM.

Gregucci, C., Nayyeri, M., Hernández, D., and Staab, S. (2023). Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. WWW '23: Proceedings of the ACM Web Conference 2023, Austin, Texas, USA, April 30 - May 4, 2023. ACM.

Kestel, P., Luft, T., Schon, C., Kügler, P., Bayer, T., Schleich, B., Staab, S., and Wartzack, S. (2018). Konzept zur zielgerichteten, ontologiebasierten Wiederverwendung von Produktmodellen. In Design for X. Beiträge zum 28. DfX-Symposium. Hamburg: TuTech Verlag

Kügler, P., Dworschak, F., Schleich, B., and Wartzack, S. (2023). The evolution of knowledge-based engineering from a design research perspective: Literature review 2012–2021. Advanced Engineering Informatics, 55, 101892.

Kügler, P., Marian, M., Dorsch, R., Schleich, B., and Wartzack, S. (2022). A Semantic Annotation Pipeline towards the Generation of Knowledge Graphs in Tribology. Lubricants 2022, 10, 18. Machine Learning in Tribology, 87.

Kügler, P., Marian, M., Schleich, B., Tremmel, S., Wartzack, S. (2020). tribAIn: an ontology for knowledge representation in the domain of tribology.

Kügler, P., Marian, M., Schleich, B., Tremmel, S., and Wartzack, S. (2020). tribAIn—Towards an explicit specification of shared tribological understanding. Applied Sciences, 10(13), 4421.

Kügler, P., Kestel, P., Schon, C., Marian, M., Schleich, B., and Staab, S., Wartzack, S. (2018) Ontology-based approach for the use of intentional forgetting in product development. In Proceedings of the DESIGN 2018 / 15th International Design Conference, Croatia Dubrovnik, May 21-24 2018, The Design Society, Glasgow

Kügler, P., Schleich, B., and Wartzack, S. (2018). “Consistent digitalization of engineering design – an ontology-based approach.” In: Proceedings of NordDesign 2018.

Potyka, N., Bazo, M., Spieler, J., and Staab, S. (2022). Learning Gradual Argumentation Frameworks using Meta-heuristics. In I. Kuhlmann, J. Mumford, & S. Sarkadi (Eds.), Proceedings of the 1st Workshop on Argumentation & Machine Learning co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), Cardiff, Wales, September 13th, 2022 (Vol. 3208, pp. 96–108). CEUR-WS.org.

Potyka, N. (2021). Generalizing Complete Semantics to Bipolar Argumentation Frameworks. In J. Vejnarová & N. Wilson (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 16th European Conference, ECSQARU 2021 Prague, Czech Republic, September 21-24, 2021, Proceedings (No. 12897; Issue 12897, pp. 130–143). Springer

Potyka, N. (2021). Interpreting Neural Networks as Quantitative Argumentation Frameworks. Proceedings of the AAAI Conference on Artificial Intelligence, 35, 7, 6463–6470.

Potyka, N. (2020). Bipolar Abstract Argumentation with Dual Attacks and Supports. In D. Calvanese, E. Erdem, & M. Thielscher (Eds.), Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (pp. 677–686). IJCAI Organization.

Potyka, N. (2020). Abstract Argumentation with Markov Networks. European Conference on Artificial Intelligence (ECAI), 865–872.

Rienstra, T., Schon, C., & Staab, S. (2020, July). Concept contraction in the description logic el. In Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning (Vol. 17, No. 1, pp. 723-732).

Sauer, C., Kügler, P., Kestel, P., Graf, M., Göbel, K., Niessen, C., Schleich, B., and Wartzack, S. (2018). “Ein ontologiebasierter Ansatz zur Wissensrepräsentation für die smarte Produktentwicklung.” In: Tagungsband 16. Gemeinsames Kolloquium Konstruktionstechnik. Ed. by Rieg, F., Brökel, K., Scharr, G., K, G., Müller, N., Lohrengel, A., Nagarajah, A., and Corves, B., pp. 294–305.

Schon, C., Staab, S., Kügler, P., Kestel, P., Schleich, B., and Wartzack, S. (2018). “Metaproperty-Guided Deletion from the Instance-Level of a Knowledge Base.” In: Knowledge Engineering and Knowledge Management - 21st International Conference, EKAW 2018, Nancy, France, November 12-16. Ed. by Faron-Zucker, C., Ghidini, C., Napoli, A., and Toussaint, Y. Springer, pp. 407–423.

Schon, C., and Staab, S. (2018). Towards SPARQL instance-level Update in the Presence of OWL-DL TBoxes. In S. Borgo, Kutz, O., Loebe, F., Neuhaus, F., Adrian, K., Antovic, M., et al. (Eds.), Proceedings of the Joint Ontology Workshops 2017 Episode 3: The Tyrolean Autumn of Ontology, Bozen-Bolzano, Italy, 2017. (Vol. 2050). CEUR-WS.org.

Timm, I. J., Staab, S., Siebers, M., Schon, C., Schmid, U., Sauerwald, K., Reuter, L., Ragni, M., Niederée, C., Maus, H., Kern-Isberner, G., Jilek, C., Friemann, P., Eiter, T., Dengel, A., Dames, H., Bock, T., Berndt, J. O., and Beierle, C. (2018). Intentional forgetting in artificial intelligence systems: Perspectives and challenges. In Proceedings of the Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 357-365).

Xiong, B., Potyka, N., Tran, T.-K., Nayyeri, M., and Staab, S. (2022). Faithful Embedding for EL++ Knowledge Bases. Proceedings of the 21st International Semantic Web Conference (ISWC 2022), 1–16.

Xiong, B., Zhu, S., Potyka, N., Pan, S., Zhou, C., and Staab, S. (2022). Pseudo-Riemannian Graph Convolutional Networks. Advances in Neural Information Processing Systems.


Best Paper

Schröder, M., Jilek, C. and Andreas Dengel. K-CAP 2021 Best Paper Award. 11th International Conference on Knowledge Capture (K-CAP 2021).

Jilek, C., Schröder, M., Novik, R., Schwarz, S., Maus, H. and Andreas Dengel. LDK 2019 Best Research Paper Award. 2nd Conference on Language, Data and Knowledge (LDK 2019).


Übersicht über alle Publikationen

Ai, L., Muggleton, S.H., Hocquette, C., Gromowski, M., & Schmid, U. (2021). Beneficial and harmful explanatory machine learning. Machine Learning, 110(4), 695-721. DOI

Antoni, C. H., Ellwart, T., Graf, B., Reuter, L., Berndt, J. O., Timm, I. J., & Müller, R. (2023a, June 12). Human Performance Consequences of Different Levels of Automation, Agent Autonomy and Control in Human-Agent Teams. DOI

Antoni, C. H., Graf, B., Ellwart, T., & Müller, R. (2023b, February 3). Human Performance Consequences of Varying Levels of Automation and Agent Autonomy in Human-Agent Teams. DOI

Antoni, C. H., Graf, B. & Ellwart, T. (2020, October). Adaptation and Performance of Generalist and Specialist Teams. The Moderating and Mediating Role of Meta-knowledge and Information Processing Capacity [Presentation]. 15th Interdisciplinary Network of Group Research (INGRoup), Digital Conference.

Antoni, C. H., & Ellwart, T. (2017). Informationsüberlastung bei digitaler Zusammenarbeit–Ursachen, Folgen und Interventionsmöglichkeiten. Gruppe. Interaktion. Organisation. Zeitschrift Für Angewandte Organisationspsychologie (GIO), 48(4), 305–315. DOI I Google Scholar

Bakhshizadeh, M., Jilek, C., Schröder, M., Maus, H. & Andreas Dengel. Data Collection of Real-Life Knowledge Work in Context: The RLKWiC Dataset. In: ICIM 2024 (accepted for publication), 2024.

Bakhshizadeh, M., Jilek, C., Maus, H., Dengel, A. Leveraging Context-aware Recommender Systems for Improving Personal Knowledge Assistants by Introducing Contextual States. In: Proceedings of the "Lernen, Wissen, Daten, Analysen – Learning, Knowledge, Data, Analytics" (LWDA) 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, CEUR Workshop Proceedings, Vol. 2993, 1, 2021.

Becker, A., Kern-Isberner, G., Sauerwald, K., and Christoph Beierle. Forgetting formulas and signature elements in epistemic states. In Leila Amgoud and Richard Booth, editors, 19th International Workshop on Non-Monotonic Reasoning (NMR-2021), pages 233–242, 2021.

Beierle, C., Haldimann, J., and Leon Schwarzer. Observational equivalence of conditional belief bases. In Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023. (to appear).

Beierle, C., Ragni, M., Stolzenburg, F., and Matthias Thimm. Joining formal and cognitive reasoning. Journal of Applied Logics, 10(2):115–120, 2023.

Beierle, C., and Jonas Haldimann. Normal forms of conditional knowledge bases respecting system P-entailments and signature renamings. Ann. Math. Artif. Intell., 90(2):149–179, 2022.

Beierle, C., Haldimann, J., and Gabriele Kern-Isberner. Semantic splitting of conditional belief bases. In Alexander Raschke, Elvinia Riccobene, and Klaus-Dieter Schewe, editors, Logic, Computation and Rigorous Methods - Essays Dedicated to Egon Börger on the Occasion of His 75th Birthday, volume 12750 of LNCS, pages 82–95. Springer, 2021.

Beierle, C., Haldimann, J., and Steven Kutsch. A complete map of conditional knowledge bases in different normal forms and their induced system P inference relations over small signatures. In Eric Bell and Fazel Keshtkar, editors, Proceedings of the Thirty-Fourth International Florida Artificial IntelligenceResearch Society Conference, North Miami Beach, Florida, USA, May 17-19, 2021.

Beierle, C., Berndt, J. O., Gronau, N., and Timm, I. J. Intentional forgetting: A huge potential for organizations - interview with Prof. Norbert Gronau, University of Potsdam. KI – Künstliche Intelligenz 33, 1 (2019), 85–87. DOI I Google Scholar

Beierle, C., Bock, T., Kern-Isberner, G., Ragni, M., and Sauerwald, K. Kinds and aspects of forgetting in common-sense knowledge and belief management. In KI 2018 (2018), F. Trollmann and A. Turhan, Eds., vol. 11117 of LNAI, Springer, pp. 366–373. DOI I Google Scholar

Beierle, C., Kern-Isberner, G., Sauerwald, K., Bock, T., and Ragni, M. Towards a general framework for kinds of forgetting in commonsense belief management. KI – Künstliche Intelligenz 33, 1 (2019), 57–68. DOI I Google Scholar

Beierle, C., and Timm, I. J. Intentional forgetting: An emerging field in AI and beyond. KI – Künstliche Intelligenz 33, 1 (2019), 5–8. DOI I Google Scholar

Berndt, J. O. (2017): Human and Social Analysis: An Interdisciplinary Endeavor Learning from each other in Computer Science, Psychology, Sociology, and other disciplines. Panel Discussion. HUSO 2017.

Berndt, J. O., Reuter, L., & Timm, I.J. (2019). The Role of Organizational Meta-Knowledge for Cyber-Physical Social Systems in Industry 4.0. In Pawar, K. S., Potter, A., Rogers, H., & Glock, C. (Eds.), Supply Chain Networks vs Platforms: Innovations, Challenges and Oppurtunities . Proceedings of the 21st International Symposium on Logistics (pp. 138-145). Nottingham University.

Berndt, J. O., Reuter, L., Ulfert, A. S., Antoni, C. H., Ellwart, T., & Timm, I. J. (2019). Critical Mistakes: Simulating Cognitive Workload of Emergency Response Teams. Social Simulation Conference 2019. Johannes-Gutenberg Universität Mainz.

Bowen, J., Weyers, B., & Liu, B. (2023). Creating Formal Models from Informal Design Artefacts. International Journal of Human–Computer Interaction, 39(15), 3141-3158. DOI

Brand, D., Dames, H., and Marco Ragni. Rule-based categorization: Measuring the cognitive costs of intentional rule updating. In J. Culbertson, A. Perfors, H. Rabagliati, and V. Ramenzoni, editors, Proceedings of the 44th Annual Conference of the Cognitive Science Society, 2022.

Brand, D., Dames, H., Ragni, M., Beierle, C., Sauerwald, K., Kern-Isberner, G., & Howey, D. (2021, 3.–5. März). Formale und empirische Methoden zur Untersuchung intentionaler Vergessensprozesse im Unternehmen [Konferenzbeitrag]. 67. GfA Frühjahrskongress Arbeit HumAIne gestalten, Bochum, Deutschland.

Ceroni, A., Ma, C. and Ewerth, R. 2018. Mining Exoticism from Visual Content with Fusion-based Deep Neural Networks. Proc. of the 2018 ACM Int’l Conf. on Multimedia Retrieval (2018), 37–45. DOI I Google Scholar

Ceroni, A. Personal Photo Management and Preservation, In: Personal Multimedia Preservation: Remembering or Forgetting Images and Video (Springer Series on Cultural Computing), edited by Vasileios Mezaris, Claudia Niederée, and Robert H. Logie, Springer, Cham. DOI I Google Scholar

Ceroni, A. , Solachidis, V. , Niederée, C. , Papadopoulou, O. and Mezaris, V. Expo: An Expectation-oriented System for Selecting Important Photos from Personal Collections Proceedings of the 7th International Conference on Multimedia Retrieval (ICMR), 2017. DOI I Google Scholar

Chasin, F., Riehle, D. M., & Rosemann, M. (2019).Trust Management — An Information Systems Perspective. In Proceedings of the European Conference on Information Systems (pp. 1-13).

CogSci 2018. 40th Annual Meeting of the Cognitive Science Society :"Towards a Formal Foundation of Cognitive Architecture", Marco Ragni, Kai Sauerwald, Tanja Bock, Gabriele Kern-Isberner, Paulina Friemann, Christoph Beierle. DOI

Dames, H., Kiesel, A., Ragni, M., and Christina U. Pfeuffer. Repeated failures to obtain directed forgetting effects for stimulus-action and stimulus-classification associations in lab and onlinesamples. In TeaP Conference 2023, Trier, Germany. ZPID (Leibniz Institute for Psychology), Mar. 2023.

Dames, H., Kiesel, A., Pfeuffer, C. U., and Marco Ragni. Intentional forgetting of habits? Combining list-method directed forgetting and item-specific stimulus-response priming. In J. Culbertson, A. Perfors, H. Rabagliati, and V. Ramenzoni, editors, Proceedings of the 44th Annual Conference of the Cognitive Science Society, 2022.

Dames, H., Kiesel, A., and Christina U. Pfeuffer. Evidence for a selective influence of short-term experiences on the retrieval of item-specific long-term bindings. Journal of Cognition, May 2022.

Dames, H., Brand, D., and Marco Ragni. Evidence for multiple mechanisms underlying list-method directed forgetting. In J. Culbertson, A. Perfors, H. Rabagliati, and V. Ramenzoni, editors, Proceedings of the 44th Annual Conference of the Cognitive Science Society, 2022.

Dengel, A. and Maus, H. (2018). Personalisierte Wissensdienste: Das Unternehmen denkt mit. IM+io Fachmagazin. 3, 46–49.

Dworschak, F.; Kügler, P.; Schleich, B.; Wartzack, S. (2021). Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization. Applied Sciences 2021, 11:21, pp. 9825. DOI

Eiter, T., and Kern-Isberner, G. A brief survey on forgetting from a knowledge representation and reasoning perspective. KI – Künstliche Intelligenz 33, 1 (2019), 9–33. DOI I Google Scholar

Ellwart, T., Graf, B., Müller, R., Timm, I. J., Reuter, L., Berndt, J. O., & Antoni, C. H. (2023, July 5). Adaptive Agent Support. The role Agent Knowledge and Perceived Mental Model Congruence on Explicit Coordination Needs and Attitudes. DOI

Ellwart (2022a). Anwendungsperspektiven der Visualisierung und Elaboration sozio-digitaler Prozesse im Bereich der Gestaltung autonomer Schiffsinspektionen. Unveröffentlichter Projektbericht.

Ellwart (2022b). Anwendungsperspektiven der Visualisierung und Elaboration sozio-digitaler Prozesse im Bereich digitaler Verwaltungsprozesse. Projektmodul Arbeits-, Organisations- und angewandte Sozialpsychologie (AOS) im Master Psychologie der Universität Trier, Fach Psychologie.

Ellwart, T., Schauffel, N., Antoni, C. H., & Timm, I. J. (2022). I vs. robot: Sociodigital self-comparisons in hybrid teams from a theoretical, empirical, and practical perspective. Gruppe. Interaktion. Organisation. Zeitschrift Für Angewandte Organisationspsychologie (GIO), 53, 273–284. DOI

Ellwart, T., Graf, B., Reuter, L., Berndt, J. O., Timm, I. J., Antoni, C. H. & Müller, R. (2021). Implementation of Software Agents in Expert Teams: Effect of Meta-knowledge and Instructions on Adaptability in Failure Situations. DOI

Ellwart, T., Graf, B., Antoni, C. H., Müller, R., Reuter, L., Berndt, J.-O., & Timm, I. J. (2021, September). Auswirkungen von Rollen- und Aufgabenwissen über digitale Teammitglieder auf Erwartungen und Vertrauen [Präsentation]. Fachgruppentagung der AOW-Psychologie, Chemnitz, Deutschland.

Ellwart, T., Ulfert, A. S., Antoni, C. H., Becker, J., Frings, C., Göbel, K., Hertel, G., Kluge, A., Meeßen, S., Niessen, C., Nohe, C., Riehle, D., Runge, Y., Schmid, U., Schüffler, A., Siebers, M., Sonnentag, S., Tempel., T., Thielsch, M. T., & Wehrt, W. (2019). Intentional forgetting in socio-digital work systems: system characteristics and user-related psychological consequences on emotion, cognition, and behaviour. AIS Transactions on Enterprise Systems, 4(1). DOI

Ellwart, T. (Nov. 2018). Digitalisierung und Entgrenzung. Eingeladener Vortrag der Katholischen Arbeitnehmerbewegung (KAB) und dem Kolpingwerk Trier zur Vortragsreihe „Arbeit 4.0“ im Karl-Marx Jahr, Trier.

Ellwart, T., Kluge, A. (2018). Psychological Perspectives on Intentional Forgetting: An Overview of Concepts and Literature. Springer: Berlin Heidelberg. DOI I Google Scholar

Ellwart, T. & Antoni, C, H. (2017). Shared and Distributed Team Cognition and Information Overload. Evidence and Approaches for Team Adaptation. In R. Marques & J. Batista (Eds.) Information and Communication Overload in the Digital Age (pp. 223-245). Hershey: IGI Global. DOI I Google Scholar

Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., and Wortmann, T. (2022). Inferential Reasoning in Co-Design Using Semantic Web Standards alongside BHoM. Proceedings of 33. Forum Bauinformatik.

Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., and Wortmann, T. (2022). Knowledge Graphs for Multidisciplinary Co-Design: Introducing RDF to BHoM. In Proceedings of LDAC2022 - 10th Linked Data in Architecture and Construction Workshop. LDAC2022 - 10th Linked Data in Architecture and Construction Workshop, Hersonissos, Greece.

Ewerz, B., Graf, B., Müller, R., Antoni C. H. & Ellwart, T. (2022, September). The Impact of Agent-Related Knowledge on Trust and Acceptance of Autonomous Support Systems [Presentation]. DGPs-Kongress, Hildesheim, Deutschland.

Ewerz, B., Graf, B., Ellwart, T., Müller, R., Reuter, L., Berndt, J. O., Timm, I. J. & Antoni, C. H. (2022, July). The Impact of Agent-Related Knowledge on Trust and Acceptance in Human Agent Teams [Presentation]. 17th Interdisciplinary Network for Group Research (INGRoup), Hamburg, Germany.

Galárraga, L., Hernández, D. Katim, A., and Hose, K. (2023). Visualizing How-Provenance Explanations for SPARQL Queries. WWW '23: Companion Proceedings of the ACM Web Conference 2023, Austin, Texas, USA, April 30 - May 4, 2023. ACM.

Gallo, F., Niederée, C., Allasia, W. Bridging Information Management and Preservation: A Reference Model. In: Personal Multimedia Preservation: Remembering or Forgetting Images and Video, pp. 183-229", Springer, 2018.

Gauselmann, P., Cognitive offloading and problem solving. PhD thesis (Universität Trier)

Gauselmann, P., Jilek, C., Frings, C. & Tempel, T. (2024). A multi-conceptual approach to forgetting prose-induced fixation in creative problem-solving. In revision at Journal of Applied Research in Memory and Cognition.

Gauselmann, P., Frings, C., Tempel, T. Cognitive offloading benefits eye gaze interaction (under review)

Gauselmann, P., Frings, C., Schmidt, M., Tempel, T. Protecting Against Mental Impasses: Evidence of Selective Retrieval Mitigating the Impact of Fixation in Creative Problem Solving (under review)

Gauselmann, P., Runge, Y., Jilek, C., Frings, C., Maus, H., Tempel, T. A Relief from Mental Overload in a Digitalized World: How Context-sensitive User Interfaces Can Enhance Cognitive Performance. In: International Journal of Human-Computer Interaction 39.1 (2023), pp. 140-150. DOI: 10.1080/10447318.2022.2041882 DOI

GCAI 2017. 3rd Global Conference on Artificial Intelligence: "Iterated contraction of propositions and conditionals under the principle of conditional preservation", Gabriele Kern-Isberner, Tanja Bock,Kai Sauerwald, Christoph Beierle. DOI I Google Scholar

Geißler, C., Gauselmann, P., Jilek, C., Maus, H., Frings, C. and T. Tempel. Shedding light on the prefrontal correlates of cognitive offloading: A functional near-infrared spectroscopy study to the supportive effects of a personal knowledge assistant (under review)

Göbel, K., & Niessen, C. (in preparation). Deleting and organizing irrelevant files can improve concentration and work performance – but only when people are able to mentally let them go. Friedrich-Alexander-Universität Erlangen-Nürnberg.

Göbel, K., & Niessen, C. (2023b). Examining the role of assistive systems in file deletion recommendations: Insights on motivation, deleting behavior, and task performance. Friedrich-Alexander-Universität Erlangen-Nürnberg.

Göbel, K., & Niessen, C. (2023, May). Deleting and organizing irrelevant files can improve concentration and work performance – but only when people are able to mentally let them go. Presented at the 21st European Association of Work and Organisational Psychology Congress in Katowice, Poland.

Göbel, K., & Niessen, C. (2022, September). Bitte löschen! – Experimente zur Unterstützung der Strukturierung der externalen wie internalen Arbeitsumgebung durch Assistenzsysteme. Presented at the 52nd Conference of the German Society for Psychology, Frankfurt, Germany.

Göbel, K., Niessen C., Seufert, S., & Schmid, U. (2022). Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations. Frontiers in Artificial Intelligence, 5, Article 919534. DOI

Göbel, K. (2022). Thought control in the work context. (Doctoral thesis). Friedrich-Alexander-Universität Erlangen-Nürnberg. urn:nbn:de:bvb:29-opus4-206970 DOI

Göbel, K., Hensel, L., Schultheiss, O. C., & Niessen, C. (2022). Meta-analytic evidence shows no relationship between task-based and self-report measures of thought control. Applied Cognitive Psychology, 36(3), 659-672. DOI

Göbel, K., & Niessen, C. (2021, September). Methodische Zugänge zur Erfassung der Inhibition von störenden Gedanken: Subjektive und objektive Methoden im Vergleich. Presentation at the 12th Conference of the section Work, Organizational and Business Psychology of the German Psychological Society, Chemnitz, Germany.

Göbel, K., & Niessen, C. (2021). Thought control in daily working life: How the ability to stop thoughts protects self‐esteem. Applied Cognitive Psychology. DOI

Göbel, K., Niessen, C., Nandini, D., & Schmid, U. (2021, 3.–5. März). Die Rolle von Erklärungen in partnerschaftlichen KI-Systemen: Wem helfen Erklärungen in welchen Situationen wie gut? [Konferenzbeitrag]. 67. GfA Frühjahrskongress Arbeit HumAIne gestalten, Bochum, Deutschland.

Göbel, K., & Niessen, C. (2018). Forget it – if you can! Wie die Fähigkeit zu vergessen den Selbstwert schützt (conference contribution). DGPs Kongress, Frankfurt.

Graf, B., Ellwart, T., Müller, R., Reuter, L., Berndt, J. O., Timm, I. J., & Antoni, C. (2023a). Effects of automated communication on a teams’ activity and social presence awareness, team commitment and motivation. Computers in Human Behavior. DOI

Graf, B., Müller, R., Ellwart, T., & Antoni, C. H. (2023b, February 2). More or less? Exploring effects of different levels of autonomy (LOA) of a software agent on information overload, quantitative workload, and stress perceptions. DOI

Graf, B. & Antoni, C. H. (2023, September). Human-Autonomy Teams I [Symposium]. Fachgruppentagung der AOW-Psychologie, Kassel, Germany.

Graf, B., Müller, R., Antoni, C. H., & Ellwart, T. (2023, September). Untersuchung der unterschiedlichen Auswirkungen verschiedener Autonomiestufen eines Software-Agenten auf Informationsüberlastung, quantitative Arbeitsbelastung und Stresswahrnehmung [Präsentation]. Fachgruppentagung der AOW-Psychologie, Kassel, Deutschland.

Graf, B., Ellwart, T., Müller, R., Reuter, L., Berndt, J. O., Timm, I. J., & Antoni, C. (2022, July). Effects of automated communication on a teams’ activity and social presence awareness, team commitment and motivation [Presentation]. 17th Interdisciplinary Network for Group Research (INGRoup), Hamburg, Germany.

Graf, B., Antoni, C. H., Ellwart, T., Müller, R., Reuter, L., Berndt, J. O. & Timm, I. J. (2021, September). Anpassungsfähigkeit und Leistung von Spezialisten- und Generalistenteams. Der Einfluss der Informationsverarbeitungskapazität und des Metawissens als vermittelnde bzw. moderierende Variablen [Vortrag]. Fachgruppentagung der AOW-Psychologie, Chemnitz, Deutschland.

Graf, B., Antoni, C. H., & Ellwart, T. (2021, März). Wenn Menschen durch digitale Teammitglieder ersetzt werden. Auswirkungen von Rollen- und Aufgabenwissen auf Vertrauen und Benutzerakzeptanz sowie die moderierende Rolle der Aufgabenerfahrung [Präsentation]. Gesellschaft für Arbeitswissenschaften e.V. (GfA), Onlinekonferenz.

Graf, B., Ellwart, T., Schauffel, N., Müller, R., Antoni, C. H., Reuter, L., Berndt, J. O., & Timm, I. J. (2021, März). Die Bedeutung von Rollen- und Aufgabenwissen für Vertrauen in und Erwartungen an KI-gesteuerte Teammitglieder [Präsentation]. Gesellschaft für Arbeitswissenschaften e.V. (GfA), Onlinekonferenz.

Graf, B., & Antoni, C. H. (2021). The relationship between information characteristics and information overload at the workplace - a meta-analysis. European Journal of Work and Organizational Psychology, 30(1), 143–158. DOI

Graf, B., Ellwart, T., Schauffel, N., Mueller, R., Antoni, C. H., Timm, I. J., Berndt, J., & Reuter, L. (2021). Die Bedeutung von Rollen- und Aufgabenwissen für Vertrauen in und Erwartungen an KI-gesteuerte Teammitglieder. In Bericht zum 67. GfA Frühjahrskongress Arbeit HumAIne gestalten. GfA-Press.

Graf, B., Ellwart, T., Reuter, L., Berndt, J.-O., Timm, I. J., & Antoni, C. H. (2020, October). When humans are replaced by digital team members. Effects of role and task knowledge on trust and user acceptance, and the moderating role of task experience [Presentation]. 15th Interdisciplinary Network of Group Research (INGRoup), Digital Conference.

Graf., B, Ulfert, A.-S., Reuter, L., Berndt, J. O., Timm, I. J., Antoni, C. H. & Ellwart, T. (2019, September). Intentionales Vergessen durch Wissensverteilung in Teams. Auswirkungen auf individuelle Informations-Verarbeitungskapazität und Fehlerraten [Präsentation]. Fachgruppentagung der AOW-Psychologie, Braunschweig, Deutschland.

Gregucci, C., Nayyeri, M., Hernández, D., and Staab, S. (2023). Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. WWW '23: Proceedings of the ACM Web Conference 2023, Austin, Texas, USA, April 30 - May 4, 2023. ACM. DOI

Gronau, N. (2024). Knowledge Modeling and Description Language (KMDL) 3.0 - Eine Einführung in die Gestaltung wissensintensiver Geschäftsprozesse., 2. Auflage, GITO mbH, Berlin.

Gronau, N. (2024): Modelangelo v. 2.9.0. In: LSWI-Webpage. URL

Gronau, N., Kluge, A., Haase, Jennifer and Christof Thim. Experiential Learning Factories: Bridging the Gap between Lab and Field Experiments (June 5, 2023). SSRN I DOI

Gronau, N., Hafner, J., & Thim, C. (2020, 7.–10. Januar). Innovation in Organizations: Learning, Unlearning, and Intentional Forgetting [Konferenzbeitrag]. 53nd Hawaii International Conference on System Science, Maui, Hawaii, Vereinigte Staaten von Amerika.

Gronau, N., Hafner, J., & Thim, C. (2020). Introduction to the Minitrack on Innovation in Organizations: Learning, Unlearning, and Intentional Forgetting. In Proceedings of the 53rd Hawaii International Conference on System Sciences (pp. 4784-4785). DOI

Gromowski, M., Müller, D., and Ute Schmid (2021). Exploiting Temporal Relations ofEvents for Classification Tasks – Proof of Concept Study with Synthetic Data Sets. Late Breaking Papers, ILP@IJCLR – 1st International Joint Conference on Reasoning and Learning 2021. PDF

Gromowski, M., Siebers, M., & Schmid, U. (2020). A process framework for inducing and explaining Datalog theories. Advances in Data Analysis and Classification, 14(4), 821-835. DOI

Grum, M., Thim, C., Roling, W.M., Schueffler, A., Kluge, A., Gronau, N. (2023). AI Case-Based Reasoning for Artificial Neural Networks. In: Masrour, T., El Hassani, I., Barka, N. (eds) Artificial Intelligence and Industrial Applications. A2IA 2023. Lecture Notes in Networks and Systems, vol 771. Springer, Cham. DOI

Grum, M., Thim, C. Roling, W.M., Schüffler, A.S., Kluge, A., & Gronau, N. (2023) AI Case-Based Reasoning for Artificial Neural Networks. In Proceedings of Artificial Intelligence & Industrial Applications A2IA'2023, 17 - 18 Feb, 2023. Meknes, Morocco.

Grum, M. (2023): AI-CPS. In: Github. Github

Grünauer, S., & Schmid, U. (2018). Investigating Michie's operational effectiveness criterion of machine learned models. In Proceedings of the KogWis 2018 (p.18).

Haase, J. Matthiessen, J., Schüffler, A.S. & Kluge, A. (2020). Retentivity beats prior knowledge as predictor for the acquisition and adaptation of new production processes, HICSS 2020 DOI: 10.24251/HICSS.2020.589. Scholarspace

Haase, J., & Schüffler, A. (2019, Januar). Studying cue-dependent and intentional forgetting in organizations: a methodological approach. Paper presented at HICSS 2019, Wailea. DOI

Haldimann, J., Beierle, C., Kern-Isberner, G., and Thomas Meyer. Conditionals, infeasible worlds, and reasoning with system W. In Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023. (to appear).

Haldimann, J. Beierle, C., and Gabriele Kern-Isberner. Epistemic state mappings among ranking functions and total preorders. Journal of Applied Logics, 10(2):155–192, 2023.

Haldimann, J., and Christoph Beierle. Characterizing multipreference closure with system W. In Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, and Nico Potyka, editors, Scalable Uncertainty Management - 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings, volume 13562 of Lecture Notes in Computer Science, pages 79–91. Springer, 2022.

Haldimann, J. and Christoph Beierle. Inference with system W satisfies syntax splitting. In Gabriele Kern-Isberner, Gerhard Lakemeyer, and Thomas Meyer, editors, Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022, Haifa, Israel. July 31 - August 5, 2022, pages 405–409, 2022.

Haldimann, J., and Christoph Beierle. Properties of system W and its relationships to other inductive inference operators. In Ivan Varzinczak, editor, Foundations of Information and Knowledge Systems - 12th International Symposium, FoIKS 2022, Helsinki, Finland, June 20-23, 2022, Proceedings, volume 13388 of LNCS, pages 206–225. Springer, 2022.

Haldimann, J., Beierle, C., and Gabriele Kern-Isberner. Postulates for transformations among epistemic states represented by ranking functions or total preorders. In Leila Amgoud and Richard Booth, editors, 19th International Workshop on Non-Monotonic Reasoning (NMR-2021), pages 213–222, 2021.

Haldimann, J., Beierle, C., and Gabriele Kern-Isberner. Syntax splitting for iterated contractions, ignorations, and revisions on ranking functions using selection strategies. In Wolfgang Faber, Gerhard Friedrich, Martin Gebser, and Michael Morak, editors, Logics in Artificial Intelligence - 17th European Conference, JELIA 2021, Virtual Event, May 17-20, 2021, Proceedings, volume 12678 of LNCS, pages 85–100. Springer, 2021.

Haldimann, J., Sauerwald, K., von Berg, M., Kern-Isberner, G., and Christoph Beierle. Towards a framework of Hansson’s descriptor revision for conditionals. In The 36th ACM/SIGAPP Symposium on Applied Computing (SAC ’21), March 22–26, 2021, Virtual Event, Republic of Korea, pages 889–891, New York, NY, USA, 2021. ACM.

Haldimann, J., Sauerwald, K., von Berg, M., Kern-Isberner, G., and Christoph Beierle. Con- ditional descriptor revision and its modelling by a CSP. In Wolfgang Faber, Gerhard Friedrich, Martin Gebser, and Michael Morak, editors, Logics in Artificial Intelligence - 17th European Conference, JELIA 2021, Virtual Event, May 17-20, 2021, Proceedings, volume 12678 of LNCS, pages 35–49. Springer, 2021.

Haldimann, J., Kern-Isberner, G., and Christoph Beierle. Syntax splitting for iterated contractions. In Diego Calvanese, Esra Erdem, and Michael Thielscher, editors, Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, KR 2020, Rhodes, Greece, September 12-18, 2020, pages 465–475, 2020.

Heim, D., Jilek, C., Maus, H., Dengel, A. A Retrospective Context Mining Approach for Bootstrapping Personal Knowledge Assistants. In: Proceedings of the "Lernen, Wissen, Daten, Analysen – Learning, Knowledge, Data, Analytics" (LWDA) 2022 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, CEUR Workshop Proceedings, 2022

Hertel, G., Fisher, S. & Van Fossen, J. (2023). Motivated trust in AI: An integrative model considering multiple stakeholder views in HRM. In B. Murray, J. H. Dulebohn, D. L. Stone, & K. M. Lukaszewski (Eds.) Research in Human Resource Management: The Future of Human Resource Management. Information Age Publishing.

Hertel, G., Meeßen, S. M., & Höddinghaus, M. (2020). Trust in the Context of e-HRM. In Bondarouk, T. & Fisher, S. (Eds.), Encyclopedia of Electronic HRM (pp. 76–81). Berlin: De Gruyter Oldenbourg. DOI / Verlag

Hertel, G. & Meeßen, S. M. (2020). Wie Technologien das Vergessen unterstützen – und warum das wichtig ist. Wirtschaftspsychologie aktuell, Heft 1 2020, S. 38-42. Verlag

Hertel, G., Meeßen, S. M., Riehle, D. M., Thielsch, M. T., Nohe, C., & Becker, J. (2019). Directed Forgetting in Organizations: Beneficial Effects of Information Systems on Mental Resources and Well-being at Work. Paper presented at the 19th congress of the European Association of Work and Organizational Psychology (EAWOP), Turin, Italy

Hertel, G., Meeßen, S. M., Riehle, D. M., Thielsch, M. T., Nohe, C., & Becker, J. (2019). Directed Forgetting in Organisations: The Positive Effects of Decision Support Systems on Mental Resources and Well-being. Ergonomics. Vol. 62 (No. 5) DOI I Google Scholar

Hertling, S., Schröder, M., Jilek, C. and Dengel, A. 2017. Where is that Button again?! – Towards a Universal GUI Search Engine. Proc. of the 9th Int’l Conf. on Agents and Artificial Intelligence (ICAART-17) (2017), 217–227. DOI I Google Scholar

Heyninck, J., Kern-Isberner, G., Meyer, T., Haldimann, J., and Christoph Beierle. Con- ditional syntax splitting for non-monotonic inference operators. In Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2022. AAAI Press, 2023. (to appear).

Hielscher, J., Kluge, A., Menges, U. & Sasse, M. A. (2021). "Taking out the Trash": Why Security Behavior Change requires Intentional Forgetting. NSPW '21: New Security Paradigms Workshop, 108–122. DOI

Jilek, C., (2024) Self-organizing Context Spaces to Support Information Management and Knowledge Work. PhD thesis. RPTU Kaiserslautern-Landau (formerly TU Kaiserslautern) (under review

Jilek, C., Schröder, M., Maus, H., Schwarz, S., Dengel, A. Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories (under review)

Jilek C., Gauselmann, P., Chwalek, J., Tempel, T., & Dengel., A. (2021). Quantifying Benefits of a Personal Knowledge Assistant on Task Resumption. In Bericht zum 67. GfA Frühjahrskongress Arbeit HumAIne gestalten. GfA-Press.

Jilek, C., Schröder, M., Novik, R., Schwarz, S., Maus, H. and Andreas Dengel. LDK 2019 Best Research Paper Award. 2nd Conference on Language, Data and Knowledge (LDK 2019).

Jilek, C., Chwalek, J., Schwarz, S., Schröder, M., Maus, H., & Dengel, A. (2019). Advanced Memory Buoyancy for Forgetful Information Systems. AIS Transactions on Enterprise Systems. [Special Issue] AES: Intentional Forgetting in Organizations and Work Settings, 4(1). DOI

Jilek, C., Chwalek, J., Schwarz, S., Schröder, M., Maus, H., & Dengel, A. (2018). Advanced Memory Buoyancy for Forgetful Information Systems. In Conference on Intentional Forgetting in Organizations and Work Settings (CoInFo). AIS Transactions on Enterprise Systems.

Jilek, C., Runge, Y., Niederée, C., Maus, H., Tempel, T., Dengel, A. and Frings, C. 2018. Managed Forgetting to Support Information Management and Knowledge Work. KI – Künstliche Intelligenz. Special Issue Intentional Forgetting. (2018). DOI I Google Scholar

Jilek, C., Schröder, M., Schwarz, S., Maus, H. and Dengel, A. 2018. Context Spaces as the Cornerstone of a Near-Transparent and Self-Reorganizing Semantic Desktop. The Semantic Web: ESWC 2018 Satellite Events (2018), 89–94. DOI I Google Scholar

Jilek, C., Schröder, M., Novik, R., Schwarz, S., Maus, H. and Dengel, A. 2018. Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications. Computing Research Repository. arXiv:1812.02119, (2018). Google Scholar

Jilek C., Schwarz S., Maus H., Dengel A. (2016) Managed Forgetting, Data Condensation & Preservation in Application. UbiComp Adjunct 2016: 1046-1053. DOI I Google Scholar

Kern-Isberner, G., Sezgin, M., and Christoph Beierle. A kinematics principle for iterated revision. Artif. Intell., 314:103827, 2023.

Kern-Isberner, G., Heyninck, J., and Christoph Beierle. Conditional independence for iterated belief revision. In Luc De Raedt, editor, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, pages 2690–2696. ijcai.org, 2022.

Kern-Isberner, G., Bock, T., Beierle, C., & Sauerwald, K. (2019). Axiomatic evaluation of epistemic forgetting operators. In Proceedings of the Thirty-Second International Flairs Conference (pp. 470-475). AAAI Publications.

Kern-Isberner, G., Bock, T., Sauerwald, K., and Beierle, C. Iterated contraction of propositions and conditionals under the principle of conditional preservation. In Proceedings 3rd Global Conference on Artificial Intelligence, GCAI 2017 (2017), C. Benzmüller, C. Lisetti, and M. Theobald, Eds., vol. 50, EPiC Series in Computing, pp. 78–92. DOI I Google Scholar

Kern-Isberner, G., Bock, T., Sauerwald, K., & Beierle, C. (2019). Belief Change Properties of Forgetting Operations over Ranking Functions. In Nayak, A., & Sharma, A. (Eds.), PRICAI 2019: Trends in Artificial Intelligence (pp. 459-472). Springer. DOI

Kestel, P.; Luft, T.; Schon, C.; Kügler, P.; Bayer, T.; Schleich, B.; Staab, S.; Wartzack, S.:Konzept zur zielgerichteten, ontologiebasierten Wiederverwendung von Produktmodellen. In Design for X. Beiträge zum 28. DfX-Symposium. Hamburg: TuTech Verlag. DOI I Google Scholar

Kiefer, S., Hoffmann, M., & Schmid, U. (2022). Semantic interactive learning for text classification: A constructive approach for contextual interactions. Machine Learning and Knowledge Extraction, 4(4), 994-1010. DOI

Kluge (2018). Wer braucht (noch) HRM in einer 100% digitalen Produktion. Vortrag bei beim Symposium der DECHEMA in Tutzing, 16.April 2018.

Kluge, A., Antoni, C. H., & Ellwart, T. (2020). Digitalization as the Problem of and the Solution to Vast Amounts of Data in Future Work – Challenges for Individuals, Teams, and Organizations. Zeitschrift Für Arbeits- Und Organisationspsychologie A&O, 64(1),1–5. DOI I Google Scholar

Kluge, A., Schüffler, A., Thim, C., Haase, J. and Gronau, N. (2019). Investigating unlearning and forgetting in organizations: Research methods, designs and implications, The Learning Organization, Vol. 26 No. 5, pp. 518-533.
DOI I Google Scholar

Kluge, A., Schüffler, A., Thim, C., Vladova, G. & Gronau, N. (2018). Putting intentional organisational forgetting to an empirical test: Using experimental designs to measure forgetting of organisational routines. _Proceedings of the IFKAD Conference at the Technical University of Delft, 4.-6.July 2018. Google Scholar

Kügler, P., Dworschak, F., Schleich, B., and Wartzack, S. (2023). The evolution of knowledge-based engineering from a design research perspective: Literature review 2012–2021. Advanced Engineering Informatics, 55, 101892. DOI

Kügler, P., Marian, M., Dorsch, R., Schleich, B., and Wartzack, S. (2022). A Semantic Annotation Pipeline towards the Generation of Knowledge Graphs in Tribology. Lubricants 2022, 10, 18. Machine Learning in Tribology, 87. DOI

Kügler, P., Marian, M., Schleich, B., Tremmel, S., and Wartzack, S. (2020). tribAIn—Towards an explicit specification of shared tribological understanding. Applied Sciences, 10(13), 4421. DOI

Kügler, P., Kestel, P., Schon, C., Marian, M., Schleich, B., and Staab, S., Wartzack, S. (2018) Ontology-based approach for the use of intentional forgetting in product development. In Proceedings of the DESIGN 2018 / 15th International Design Conference, Croatia Dubrovnik, May 21-24 2018, The Design Society, Glasgow DOI

Kügler, P., Schleich, B., and Wartzack, S. (2018). “Consistent digitalization of engineering design – an ontology-based approach.” In: Proceedings of NordDesign 2018.

Langel, F., Law, Y. C., Wehrt, W., & Weyers, B. (2018). A virtual reality framework to validate persuasive interactive systems to change work habits. Mensch und Computer 2018-Workshopband. DOI

Law, Y. C., Wehrt, W., Sonnentag, S., & Weyers, B. (2023). Obtaining semi-formal models from qualitative data: From interviews into bpmn models in user-centered design processes. International Journal of Human–Computer Interaction, 39(3), 476-493. DOI

Law, Y. C., Wehrt, W., Sonnentag, S., & Weyers, B. (2017). Generation of information systems from process models to support intentional forgetting of work habits. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems (pp. 27-32). ACM. DOI I Google Scholar

Maus H., Jilek C., Schwarz S. (2018) Remembering and Forgetting for Personal Preservation, In: Personal Multimedia Preservation: Remembering or Forgetting Images and Video, edited by Mezaris/Niederée/Logie, Springer, Cham. DOI I Google Scholar

Meeßen, S. M., Hertel, G., Thielsch, M. T., Nohe, C., Riehle, D. M., & Becker, J. (2019). Der Einfluss von Vertrauen in Decision Support Systeme auf Directed Forgetting. Paper presented at the 11th conference of the section Work and Organizational Psychology of the Deutsche Gesellschaft für Psychologie (DGPs), Braunschweig, Germany.

Meeßen, S. M., Thielsch, M. T., & Hertel, G. (2019). Trust in Management Information Systems (MIS): A Theoretical Model. Paper presented at the 19th congress of the European Association of Work and Organizational Psychology (EAWOP), Turin, Italy.

Meeßen, S. M., Thielsch, M. T., & Hertel, G. (2020). Trust in Management Information Systems (MIS) - A Theoretical Model. Zeitschrift für Arbeits-und Organisationspsychologie A&O, 64(1), 6-16. DOI

Meeßen, S. M., Thielsch, M. T., Nohe, C., & Hertel, G. (2017). Vertrauen in Informationssysteme – Critical Incidents und Modellentwicklung. Paper presented at the 10th conference of the section Work and Organizational Psychology of the Deutsche Gesellschaft für Psychologie (DGPs), Dresden, Germany.

Meeßen, S. M., Thielsch, M. T., Riehle, D. M., & Hertel, G. (2020). Trust is Essential: Positive Effects of Information Systems on Users’ Memory Require Trust in the System. Ergonomics, 63(7), 909-926. DOI

Muggleton, S. H., Schmid, U., Zeller, C., Tamaddoni-Nezhad, A., & Besold, T. (2018). Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. Machine Learning, 107(7), 1119-1140. DOI

Müller, L. S., Nohe, C., Reiners, S., Becker, J., & Hertel, G. (in press). Adopting Information Systems at Work: A Longitudinal Examination of Trust Dynamics, Antecedents, and Outcomes. Behaviour & Information Technology. DOI

Müller, L. S., Reiners, S., Becker, J., & Hertel, G. (in press). Long-Term Effects of COVID-19 on Work Routines and Organizational Culture – A Case Study within Higher Education’s Administration. Journal of Business Research. DOI

Müller, L. S., & Hertel, G. (2023). Trusting information systems in everyday work events – Effects on cognitive resources, performance, and well-being. Ergonomics. DOI

Müller, L. S., Nohe, C., Reiners, S., Becker, J., & Hertel, G. (2022). Informationssysteme in der öffentlichen Verwaltung - Eine Längsschnittuntersuchung zu Vertrauen und dessen Auswirkungen auf das Vergessen irrelevanter Arbeitsprozesse. Paper presented at the 52nd conference of the Deutsche Gesellschaft für Psychologie (DGPs), Hildesheim, Germany.

Müller. L. S., Höddinghaus, M., Reiners, S., Riehle, D., Becker, J., & Hertel, G. (2021). Vergessen bei der Arbeit - Eine Längsschnittuntersuchung zum Vertrauen in Informationssysteme am Arbeitsplatz. Paper presented at the 12th conference of the section Work and Organizational Psychology of the Deutsche Gesellschaft für Psychologie (DGPs), Chemnitz, Germany.

Müller, L. S., Höddinghaus, M., Reiners, S., Becker, J., & Hertel, G. (2021). Auswirkungen der COVID-19 Pandemie auf Arbeitsprozesse öffentlicher Verwaltung - Barrieren und Ressourcen eines effektiven Umgangs. Paper presented at the 12th conference of the section Work and Organizational Psychology of the Deutsche Gesellschaft für Psychologie (DGPs), Chemnitz, Germany.

Müller, L. S., Meeßen, S. M., Thielsch, M.T., Nohe, C., Riehle, D. M., & Hertel, G. (2020). Do not Disturb! Trust in Decision Support Systems Improves Work Outcomes Under Certain Conditions. In Proceedings of the Mensch und Computer (MuC2020), Madgeburg, Germany, 229-237. DOI

Müller, R. & Ellwart, T. (2023, September). Human-Autonomy Teams II – KI als Teammitglied [Symposium]. Fachgruppentagung der AOW-Psychologie, Kassel, Deutschland.

Müller, R., Graf, B., Ellwart, T. & Antoni, C. H. (2023, September). Der Effekt des Autonomielevels eines Autonomen Agenten auf die Teamwahrnehmung [Präsentation]. Fachgruppentagung der AOW-Psychologie, Kassel, Deutschland

Müller, R. & Antoni, C. H. (2023, July). Is it Me or is it Us? Effect of Agent’s Levels of Autonomy on Team Perception in Human-Agent Collaboration [Presentation]. 18th Interdisciplinary Network of Group Research (INGRoup), Seattle, USA.

Müller, R., Graf, B., Antoni, C. H. & Ellwart, T. (2022, September). Dare to Forget – Auswirkungen des intentionalen Vergessens nach Aufgabendelegation an Software Agenten [Präsentation]. DGPs-Kongress, Hildesheim, Deutschland.

Müller, R., Ellwart, T., Graf, B. & Antoni, C. H. (2022, August). Effects of Meta-Knowledge on Team Adaptive Performance Comparing Manual and Automated Communication [Presentation].Annual Meeting of Academy of Management (AOM), Seattle, USA. DOI

Müller, R. Graf, B., Ellwart, T., & Antoni, C. (2022). How Software Agents Can Help to Coordinate Emergency Response Teams: Adaptive Team Performance Comparing Manual and Automated Team Communication. Journal of Business and Psychology. DOI

Naini, K.D., Kawase, R., Kanhabua, N., Niederée, C. and Altingovde, I.S. 2018. Those were the days: learning to rank social media posts for reminiscence. Information Retrieval Journal. (Aug. 2018). DOI I Google Scholar

Nandini, D., and Ute Schmid (2022). Explaining Hate Speech Classification with Model-Agnostic Methods. KI 2022 Workshop on Text Mining and Generation (TMG). PDF

Niederée, C., Kanhabua, N., Tran, T. and Naini, K.D. 2018. Preservation Value and Managed Forgetting. Personal Multimedia Preservation: Remembering or Forgetting Images and Video. Springer. 101–129. DOI I Google Scholar

Niederée, C., Kanhabua, N., Tran, T., and Naini, K. D. (2018). Preservation Value and Managed Forgetting, pages 101–129, In: Personal Multimedia Preservation: Remembering or Forgetting Images and Video (Springer Series on Cultural Computing), edited by Vasileios Mezaris, Claudia Niederée, and Robert H. Logie, Springer, Cham. DOI I Google Scholar

Niessen, C., & Göbel., K. (2018). When persons intentionally forget at work: The role of interindividual differences in retrieval suppression and challenging work demands. Presented at the Conference on Intentional Forgetting in Organisations and Work Settings, Potsdam.

Niessen, C. ; Göbel, K. ; Siebers, M. & Schmid, U. (2017): Intentionales Vergessen im Arbeitsalltag: Eine Critical Incident Untersuchung. Vortrag auf der Fachgruppentagung AOW, Dresden.

Niessen, C., Göbel, K., Siebers, M., & Schmid, U. (2018). Forget it – delete it? Das Löschen von Informationen im Arbeitsalltag. Presented at the 51th Conference of the German Society for Psychology, Frankfurt, Germany.

Niessen, C., Göbel, K., Siebers, M., & Schmid, U. (2019). Time to Forget. Zeitschrift für Arbeits-und Organisationspsychologie A&O, 64 (1), 30-45. DOI

Niessen, C., Göbel, K., Lang, J. W. B., & Schmid, U. (2020). Stop Thinking: An Experience Sampling Study on Suppressing Distractive Thoughts at Work. Frontiers in Psychology, 11, 1616. DOI

Niessen, C., & Lang, J. W. B. (2020). Cognitive control strategies and adaptive performance in a complex work task. Journal of Applied Psychology. Advanced online publication. DOI

Potyka, N., Bazo, M., Spieler, J., and Staab, S. (2022). Learning Gradual Argumentation Frameworks using Meta-heuristics. In I. Kuhlmann, J. Mumford, & S. Sarkadi (Eds.), Proceedings of the 1st Workshop on Argumentation & Machine Learning co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), Cardiff, Wales, September 13th, 2022 (Vol. 3208, pp. 96–108). CEUR-WS.org. DOI

Potyka, N. (2021). Generalizing Complete Semantics to Bipolar Argumentation Frameworks. In J. Vejnarová & N. Wilson (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 16th European Conference, ECSQARU 2021 Prague, Czech Republic, September 21-24, 2021, Proceedings (No. 12897; Issue 12897, pp. 130–143). Springer DOI

Potyka, N. (2021). Interpreting Neural Networks as Quantitative Argumentation Frameworks. Proceedings of the AAAI Conference on Artificial Intelligence, 35, 7, 6463–6470. DOI

Potyka, N. (2020). Bipolar Abstract Argumentation with Dual Attacks and Supports. In D. Calvanese, E. Erdem, & M. Thielscher (Eds.), Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (pp. 677–686). IJCAI Organization. DOI

Potyka, N. (2020). Abstract Argumentation with Markov Networks. European Conference on Artificial Intelligence (ECAI), 865–872. DOI

Rabold, J., Siebers, M., & Schmid, U. (2022). Generating contrastive explanations for inductive logic programming based on a near miss approach. Machine Learning, 111(5), 1799-1820. DOI

Ragni, M., Kern-Isberner, G., Beierle, C., and Kai Sauerwald. Cognitive logics - features, formalisms, and challenges. In Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, and Jérôme Lang, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), volume 325 of Frontiers in Artificial Intelligence and Applications, pages 2931–2932. IOS Press, 2020.

Ragni, M., Sauerwald, K., Bock, T., Kern-Isberner, G., Frie-mann, P., and Beierle, C.Towards a formal foundation of cognitivearchitectures. In Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, USA, 25-28 July 2018(2018), C. Kalish, M. Rau, J. Zhu, and T. Rogers, Eds., cognitivesciencesociety.org, pp. 2321–2326.

Reiners, S. (2022, June). Trust and its Extensions in Digital Platform Ecosystems: Key Concepts and Issues for Future Research. In 2022 IEEE 24th Conference on Business Informatics (CBI) (Vol. 2, pp. 1-8). IEEE. DOI

Reiners, S., Müller, L. S., Becker, J., & Hertel, G. (2022). Measuring the Influence of Characteristics on Decision-Making Scenarios: A Prototype. In International Conference on Human-Computer Interaction (pp. 387-392). Springer, Cham. DOI

Reuter, Ellwart, Graf, & Müller (2021). TSE-Visio. Task Specific Elaboration Tool based on BPMN and survey design work analysis.

Reuter L., Berndt J. O., & Timm I.J. (2020). Exploring the Effects of Role Design on Agent Learning. In Schmid U., Klügl F. & Wolter D. (Eds..), KI 2020: Advances in Artificial Intelligence. KI 2020. Lecture Notes in Computer Science (pp. 190-203). Springer. DOI

Reuter, L.; Berndt, J.O.; Timm, I.J. (2017): Towards Simulation-based Role Optimization in Organizations. In: Kern-Isberner, G.; Fürnkranz, J.; Thimm, M. (eds.): KI 2017: Advances in Artificial Intelligence - 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017, Proceedings. LNAI/LNCS Vol. 10505, pp. 359-365. Springer: Berlin. DOI

Reuter, L.; Berndt, J.O.; Timm, I.J. (2018): Simulating Psychological Experiments: An Agent-Based Modeling Approach: Fourth International Conference on Human and Social Analytics (HUSO 2018). Google Scholar

Reuter, L.; Berndt, J.O.; Timm, I.J. (2017): Challenges Of Simulating Teamwork In Organizational Scenarios. In: Chan, W. K. V.; D’Ambrogio, A.; Zacharewicz, G.; Mustafee, N.; Wainer, G.; Page, E. (Eds.): Proceedings of the 2017 Winter Simulation Conference (WSC 2017). pp. 4552-4553. IEEE. DOI I Google Scholar

Reuter, L., Berndt, J. O., Ulfert, A.-S., Antoni, C. H., Ellwart, T., & Timm, I. J. (2018). Intentional Forgetting in Distributed Artificial Intelligence. KI - Künstliche Intelligenz. DOI I Google Scholar

Riehle, D. M., Fleischer, S., Becker, J. (2019). A Web-Based Information System to Evaluate Different Versions of IT Artefacts in Online Experiments. AIS Transactions on Enterprise Systems, Vol. 4 (No. 1). DOI

Riehle, D. M., Fleischer, S., Becker, J. (in press). A Web-Based Information System to Evaluate Different Versions of IT Artefacts in Online Experiments. AIS Transactions on Enterprise Systems, Special Issue on Intentional Forgetting in Organizations and Work Settings.

Riehle, D. M., Fleischer, S., & Becker, J. (2018) Building a Web-Based Information System to Evaluate IT-Artefacts in Online Experiments - The Case of Intentional Forgetting. Paper presented at the Conference on Intentional Forgetting in Organisations and Work Settings, Potsdam, Germany.

Riehle, D. M., & Radas, J. (2019). Which Business Information do Decision-Makers need at Work? - Towards a Classification Framework. In Proceedings of the 21st Conference on Business Informatics (CBI) (pp. 312-319). IEEE. DOI

Rienstra, T., Schon, C., & Staab, S. (2020, July). Concept contraction in the description logic el. In Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning (Vol. 17, No. 1, pp. 723-732). DOI

Riss, U., Maus, H., Javaid, S., Jilek, C. Digital Twins of an Organization for Enterprise Modeling. In: The Practice of Enterprise Modeling – 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2020), Riga, Latvia, November 25-27, Proceedings, pp. 25-40, Springer, 2020.

Roling, W. M., Grum, M., Gronau, N., & Kluge, A. (2023a). The roots of errors in adaptive performance: Clustering behavioral patterns after the introduction of a change. [Manuscript submitted for publication to Journal of Workplace Learning]

Roling, W. M., Grum, M., Gronau, N., & Kluge, A. (2023b). You cannot have both – Two different ways of change implementation and their effects on adaptive performance and frustration [Manuscript in preparation]

Roling, W., Schüffler, A., Thim, C. Grumm, M., Gronau, N. & Kluge, A. (2023). Human Behavior in the Context of Continuous Change – An Exploratory Analysis in a Research and Application Center Industry 4.0, HICSS Conference 2023 Hawaii Proceedings of the 56th Hawaii International Conference on System Sciences, Page 4828- 4837. handle.net I DOI

Roling, W., Schüffler, A. S., Thim, C., Gronau, N., & Kluge, A. (2021, 3.–5. März). Der Einfluss von Zeitdruck auf das willentliche Vergessen veralteter Produktionsroutinen [Konferenzbeitrag]. 67. GfA Frühjahrskongress Arbeit HumAIne gestalten, Bochum, Deutschland.

Runge, Y., Frings, C., Tempel, T., & Pastötter, B. (2021). Electrophysiological correlates of saving-enhanced memory: Exploring similarities to list-method directed forgetting. European Journal of Neuroscience, 54, 6060–6074. DOI

Runge, Y., Frings, C. and Tobias Tempel. Specifying the mechanisms behind benefits of saving-enhanced memory. In: Psychological Research 85.4 (June 2021), pp. 1633–1644. DOI: 10.1007/s00426-020-01341-0 DOI

Runge, Y., Frings, C., & Tempel, T. (2019). Saving-Enhanced Performance: Saving items after study boosts performance in subsequent cognitively demanding tasks.  Memory, 27, 1462-1467. DOI: 10.1080/09658211.2019.1654520 DOI

Runge, Y., Frings, C. & Tempel, T. (2017). Interference From Deleting: An Extension of the Phenomenon of Saving- Enhanced Memory. Abstracts of the Psychonomic Society, 22, 79.

Runge, Y., Frings, C. & Tempel, T. (2018). Are You Sure You Want to Delete This? The Costs of Losing the Possibility of Memory Offloading for Subsequent Memory Performance. Talk at the 60th Tagung experimentell arbeitender Psychologen (TeaP), March 2018, Marburg, Germany.

Runge, Y., Frings, C. and Tempel, T. (2018). Effizienteres Wissensmanagement durch Saving-Enhanced Memory? Wie uns das Speichern von Informationen befreit und folgende Arbeiten erleichtert. 51. Kongress der Deutschen Gesellschaft für Psychologie (2018), 416.

Runge, Y., Frings, C. and Tempel, T. (2018). Hiding to hedge against information overload – Diverging distraction effects due to task-irrelevant information from misleading associations. AIS Special Issue: Intentional Forgetting in Organizations and Work Settings – Conf. on Intentional Forgetting in Organizations and Work Settings (CoInFo 2018), Potsdam, Germany, September 11-12, 2018.

Runge, Y., Frings, C., & Tempel, T. (2019). Hiding to hedge against information overload – Diverging distraction effects due to task-irrelevant information from misleading associations. AIS Transactions on Enterprise Systems. [Special Issue] AES: Intentional Forgetting in Organizations and Work Settings, 4(1). DOI

Sauer, C., Kügler, P., Kestel, P., Graf, M., Göbel, K., Niessen, C., Schleich, B., and Wartzack, S. (2018). "Ein ontologiebasierter Ansatz zur Wissensrepräsentation für die smarte Produktentwicklung." In: Tagungsband 16. Gemeinsames Kolloquium Konstruktionstechnik. Ed. by Rieg, F., Brökel, K., Scharr, G., K, G., Müller, N., Lohrengel, A., Nagarajah, A., and Corves, B., pp. 294–305.

Sauerwald, K. Semantics of Belief Change Operators for Intelligent Agents: Iteration, Postulates, and Realizability, volume 352 of Dissertations in Artificial Intelligence. IOS Press, 2022

Sauerwald, K., and Christoph Beierle. Iterated belief change, computationally. In Gabriele Kern-Isberner, Gerhard Lakemeyer, and Thomas Meyer, editors, Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022, Haifa, Israel. July 31 - August 5, 2022, pages 410–414, 2022.

Sauerwald, K., Kern-Isberner, G., Becker, A., and Christoph Beierle. From forgetting signature elements to forgetting formulas in epistemic states. In Florence Dupin de Saint-Cyr, Meltem Öztürk- Escoffier, and Nico Potyka, editors, Scalable Uncertainty Management - 15th International Conference, SUM 2022, Paris, France, October 17-19, 2022, Proceedings, volume 13562 of Lecture Notes in Computer Science, pages 92–106. Springer, 2022.

Sauerwald, K., Haldimann, J., von Berg, M., and Christoph Beierle. Descriptor revision for conditio- nals: Literal descriptors and conditional preservation. In Ute Schmid, Franziska Klügl, and Diedrich Wolter, editors, KI 2020: Advances in Artificial Intelligence - 43rd German Conference on AI, Bamberg, Germany, September 21-25, 2020, Proceedings, volume 12325 of LNCS, pages 204–218. Springer, 2020.

Sauerwald, K., Kern-Isberner, G., and Christoph Beierle. A conditional perspective for iterated belief contraction. In Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, and Jérôme Lang, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, volume 325 of Frontiers in Artificial Intelligence and Applications, pages 889–896. IOS Press, 2020.

Sauerwald. K., Student research abstract: Modelling the dynamics of forgetting and remembering by a system of belief changes. In The 34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19), April 8–12, 2019, Limassol, Cyprus, New York, NY, USA, 2019. ACM.

Sauerwald, K., Ragni, M., Bock, T., Kern-Isberner, G., andBeierle, C.On a formalization of cognitive architectures (abstract).InProceedings of the 14th Biannual Conference of the German Societyfor Cognitive Science KogWis 2018(2018), C. Rothkopf, D. Balfanz,R. Galuske, F. Jäkel, K. Kersting, J. Macke, and B. Mohler, Eds., p. 57.

Schilling, T., Müller, R. & Ellwart, T. (2023, May). Context matters: Varying preferences for decision-support levels by artificial intelligence in personnel planning [Presentation]. European Association of Work and Organizational Psychology Congress (EAWOP Congress), Katowice, Poland.

Schmid, U. (2023). Trustworthy Artificial Intelligence -- Comprehensible, Transparent, Correctable. In: H. Werthner, C. Ghezzi, J. Kramer, J. Nida-Rümelin, B. Nuseibeh, E. Prem, A. Stanger (Eds.): Introduction to Digital Humanism. Springer. DOI

Schmid, U.(2022). Interactive Learning with Mutual Explanations in Relational Domains. In Stephen H. Muggleton, Nicholas Chater (Eds.) Human-like Machine Intelligence, 338-354. Oxford University Press. DOI

Schmid, U., Zeller, C., Besold, T. Tamaddoni-Nezhad, A., Muggleton, S. (2017). How does predicate invention affect human comprehensibility? In: Cussens, J. Russo.; Antonina (Hrsg.), Selected revised papers of Inductive Logic Programming - 26th International Conference (ILP'16, London, 4th - 6th September 2016), 52- 67 Springer LNCS. DOI I Google Scholar

Schon, C.; Staab, S.: Towards SPARQL Instance-Level Update in the Presence of OWL-DL TBoxes. In S. Borgo, Kutz, O., Loebe, F., Neuhaus, F., Adrian, K., Antovic, M., et al. (Eds.), Proceedings of the Joint Ontology Workshops 2017 Episode 3: The Tyrolean Autumn of Ontology, Bozen-Bolzano, Italy, 2017.(Vol. 2050). CEUR-WS.org. PDF I Google Scholar

Schon, C., Staab, S., Kügler, P., Kestel, P., Schleich, B., & Wartzack, S. (2018). Metaproperty-guided Deletion from the Instance-Level of a Knowledge Base. In to appear in Knowledge Engineering and Knowledge Management - 21st International Conference, EKAW 2018, Nancy, France, November 12-16. DOI I Google Scholar

Schröder, M., Jilek, C., Dengel, A. A Human-in-the-Loop Approach for Personal Knowledge Graph Construction from File Names. In: Proceedings of the 3rd International Workshop on Knowledge Graph Construction (KGCW 2022) at 19th Extended Semantic Web Conference (ESWC 2022), May 29 - June 2, Hersonissos, Greece, 2022

Schröder, M., Jilek, C., Dengel, A. Dataset Generation Patterns for Evaluating Knowledge Graph Construction. In: The Semantic Web: ESWC 2021 Satellite Events – ESWC 2021 Satellite Events, Virtual Event, June 6-10, Revised Selected Papers, pp. 27-32, Springer, 2021.

Schröder, M., Jilek, C. and Andreas Dengel. K-CAP 2021 Best Paper Award. 11th International Conference on Knowledge Capture (K-CAP 2021).

Schröder, M., Jilek, C., Dengel, A. In: Interactive Concept Mining on Personal Data – Bootstrapping Semantic Services. Computing Research Repository (CoRR), abs/1903.05872 (2019).

Schröder, M., Jilek, C. and Dengel, A. 2018. Deep Linking Desktop Resources. The Semantic Web: ESWC 2018 Satellite Events (2018), 202–207. DOI I Google Scholar

Schröder M., Jilek C., Hees J., Hertling S., and Dengel A. (2017) RDF Spreadsheet Editor: Get (G)rid of Your RDF Data Entry Problems, ISWC 2017. Google Scholar

Schröder, M., Jilek, C., Hees, J. and Dengel, A. and 2018. Towards Semantically Enhanced Data Understanding. Computing Research Repository. arXiv:1806.04952, (2018). PDF I Google Scholar

Schröder, M., Jilek, C., Hees, J., Hertling, S. and Dengel, A. 2018. An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor. Computing Research Repository. arXiv:1804.04175, (2018). PDF I Google Scholar

Schüffler, A., Schwier, I., Kluge, A. & Gronau, N. (2017). Organisationsentwicklung: Gewolltes Vergessen als Jungbrunnen. SW Sozialwirtschaft, 27, Heft 2,S. 32 - 33. DOI I Google Scholar

Schüffler, A. S., Thim, C., Haase, J., Gronau, N., & Kluge, A. (2020). Information Processing in the Work Environment 4.0 and the Beneficial Impact of Intentional Forgetting for Change Management. Zeitschrift für Arbeits- und Organisationspsychologie A&O, 64(1), 17–29. DOI I Google Scholar

Schüffler, A. S., Thim, C., Haase, J., Gronau, N., & Kluge, A. (2019). Willentliches Vergessen – Voraussetzung für Flexibilität und Veränderungsfähigkeit in einer sich permanent verändernden Welt. Gruppe. Interaktion. Organisation. Zeitschrift Für Angewandte Organisationspsychologie (GIO), 50(2), 197-209. DOI Google Scholar

Schulze, M., Pelzer, M., Schröder, M., Jilek, C., Maus, H., Dengel, A. Towards Knowledge Graph Based Services in Accounting Use Cases. In: SEMANTiCS 2022, Vienna, Austria & Online, September 13-15, 2022

Seifer P. Hernández. D. Lämmel R., and Staab S. (2024). From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries. WWW ‘24: Proceedings of the ACM Web Conference 2024, Singapur, May 13-17, 2024. ACM.

Sezgin, M., Kern-Isberner, G., and Christoph Beierle. Ranking kinematics for revising by contextual information. Ann. Math. Artif. Intell., 89(10-11):1101–1131, 2021.

Siebers, M., & Schmid, U. (2019). Please delete that! Why should I? KI-Künstliche Intelligenz, 33(1), 35-44. DOI

Siebers, M. (2018). Learning to forget - first explorations. In Schmid, U.; Muggleton,. H. & Singh, R. (2018). Approaches and applications of inductive programming. In: Dagstuhl Reports 7, Nr. 9. PDF

Siebers, M. (2016). Learning complex sequential patterns in Progol. In: Hernandez-Orallo, J., Muggleton, S., Schmid, U., Zorn, B.: Approaches and Applications of Inductive Programming, Dagstuhl Reports 5, Nr. 10.

Siebers, M., Göbel, K., Niessen, C., Schmid, U. (2017). Requirements for a companion system to support identifying irrelevancy. In: IEEE-SMCS, 2nd International Conference on Companion Technology (Ulm, 11.-13.9.17). DOI I Google Scholar

Siebers, M., Schmid, U., Göbel, K., & Niessen, C. (2017). A psychonic approach to the design of a cognitive companion supporting intentional forgetting. Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten. Universität der Bundeswehr München. DOI

Siebers, M., & Schmid, U. (2019). Please Delete That! Why Should I? KI - Künstliche Intelligenz. DOI I Google Scholar

Siebers, M., & Schmid, U. (2018). Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol. In: Proceedings of ILP, 2018, 141–156. DOI I Google Scholar

Sonnentag, S., Wehrt, W., Weyers, B., & Law, Y. C. (2022). Conquering unwanted habits at the workplace: Day-level processes and longer term change in habit strength. Journal of Applied Psychology, 107(5), 831. DOI

Sonnentag, S., Wehrt, W., Weyers, B., & Law, Y. C. (2019). Conquering unwanted habits at the workplace: A daily-survey approach. Accepted for presentation at the 79th Annual Meeting of the Academy of Management, August 9-13, 2019, Boston (MA). DOI

Straub, E. R., Dames, H., Kiesel, A., and David Dignath. Does body posture reduce the stroop effect? evidence from two conceptual replications and a meta-analysis. Acta Psychologica, 224:103497, 2022.

Tempel, T., Frings, C. (2019). Directed forgetting in problem solving. Acta Psychologica, 201, 102955. DOI: 10.1016/j.actpsy.2019.102955 DOI

Tempel, T., Niederée, C., Jilek, C., Ceroni, A., Maus, H., Runge, Y., & Frings, C. (2019). Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science. Interacting with Computers, iwz013. DOI

Thi Huyen Nguyen. Interpretable Classification and Summarisation of Crisis Events from Microblogs. PhD thesis. Leibniz Universität Hannover (in progress)

Thi Huyen Nguyen and Koustav Rudra. Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human Budget. In Proceedings of the ACM Web Conference (April 2023), pp. 3959–3967, DOI: 10.1145/3543507.3583861 DOI

Thi Huyen Nguyen and Koustav Rudra. Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (October 2022), pp. 1552-1562, DOI: 10.1145/3511808.3557426 DOI

Thi Huyen Nguyen and Koustav Rudra. CrisICSum: Interpretable Classification and Summarization Platform for Crisis Events from Microblogs. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (October 2022), pp. 4941-4945, DOI: 10.1145/3511808.3557191 DOI

Thi Huyen Nguyen and Koustav Rudra. Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs. In: Proceedings of the ACM Web Conference (April 2022), pp. 3641-3650, DOI: 10.1145/3485447.3512259 DOI

Thi Huyen Nguyen and Koustav Rudra. L3S at the TREC 2022 CrisisFACTS Track. In Proceedings of the 31st Text Retrieval Conference, 2022.

Thi Huyen Nguyen, Tu Nguyen, Tuan-Anh Hoang, Claudia Niederée. On the Feasibility of Predicting Questions being Forgotten in Stack Overflow. Computing Research Repository (CoRR), abs/2110.15789, 2021.

Thi Huyen Nguyen, Hoang H. Nguyen, Zahra Ahmadi, Tuan-Anh Hoang, Thanh-Nam Doan. On the Impact of Dataset Size:A Twitter Classification Case Study. In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 210-217, 2021.

Thi-Huyen Nguyen, Tuan-Anh Hoang 2019. Efficient Summarizing of Evolving Events from Twitter Streams. Proc. of the 2019 SIAM Int’l Conf. on Data Mining. (2019).

Thielsch M. T., Meeßen S. M., Hertel G. (2018). Trust and distrust in information systems at the workplace. PeerJ 6:e5483. DOI I Google Scholar

Thim, C., Gronau, N., Haase J., Grum, M., Schüffler A., Roling, W.M. & Kluge, A. (2023). Modeling Change in Business Processes. In Business Modeling and Software Design: 13th International Symposium, BMSD 2023, Utrecht, Netherlands, July 3–5, 2023, Lecture Notes in Business Information Processing (pp. 224-242). vol. 483, Springer International Publishing. DOI

Thim, C., Grum, M., Schüffler A., Roling, W., Kluge A., Gronau N. (2022) A Concept for a Distributed Interchangeable Knowledge Base in CPPS. In: Andersen AL. et al. (eds) Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. CARV 2021, MCPC 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. DOI

Thim, C., Gronau, N., & Kluge, A. (2019, Januar). Managing Change Through a Work Environment Which Promotes Forgetting. Paper presented at HICSS 2019, Wailea. DOI

Thim, C., Gronau, N., Kluge, A., Tsui, E., & Kern-Isberner, G. (2019, Januar). Introduction to the Minitrack on Intentional Forgetting in Organizations and Information Systems. Paper presented at HICSS 2019, Wailea. DOI

Timm, I. J., Reuter, L., Berndt, J. O., Müller, R., Antoni, C. H., Ellwart, T., & Graf, B. (2022). Fire, Crime, and Injury (FCI). An agent-based simulation and experimentation platform for socio-digital team analysis. Open Science Framework. DOI

Timm, I. J., Berndt, J.O.; Reuter, L., Ellwart, T.; Antoni, C.H., Ulfert, A.-S. (2017): Towards Multiagent-Based Simulation of Knowledge Management in Teams. In: Leyer, M.; Richter, A.; Vodanovich, S. (Eds.): Flexible knowledge practices and the Digital Workplace (FKPDW). Workshop within the 9th Conference on Professional Knowledge Management. KIT: Karlsruhe. DOI

Timm, I. J., Herzog, O., Berndt, J. O., and Beierle, C. Intentional forgetting must be part of the functionality - interview with Prof. Otthein Herzog, Jacobs University Bremen, University of Bremen, and Tongij Uni-versity, Shanghai. KI – Künstliche Intelligenz 33, 1 (2019), 89–91.

Timm, I. J., Reuter, L., & Berndt, J. O. (2020, 7.–10. Januar). Role Assignment Adaptation: An Intentional Forgetting Approach [Konferenzbeitrag ]. Proceedings of the 53rd Hawaii International Conference on System Sciences, Maui, Hawaii, Vereinigte Staaten von Amerika. DOI

Timm, I. J., Reuter, L., Berndt, J. O., Ulfert, A. S., Ellwart, T., & Antoni, C. (2019). Analyzing the Effects of Role Configuration in Logistics Processes using Multiagent-Based Simulation: An Interdisciplinary Approach. In Proceedings of the 52nd Hawaii International Conference on System Sciences. DOI

Timm, I. J. & Reuter, L. (2018). The Role of Knowledge in Intelligent Agents. In C. Beierle, G. Kern-Isberner, M. Ragni, F. Stolzenburg & M. Thimm (Hrsg.), Proceedings of the 7th Workshop on Dynamics of Knowledge and Belief (DKB-2018) and the 6th Workshop KI & Kognition (KIK-2018), (S. 55-67). Aachen: Ceur Workshop Proceedings.

Timm, I. J., Staab, S., Siebers, M., Schon, C., Schmid, U., Sauerwald, K., Reuter, L., Ragni, M., Niederée, C., Maus, H., Kern-Isberner, G., Jilek, C., Friemann, P., Eiter, T., Dengel, A., Dames, H., Bock, T., Berndt, J. O., & Beierle, C. (2018). Intentional forgetting in artificial intelligence systems: Perspectives and challenges. In Proceedings of the Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 357-365). Springer. DOI

Tran, T. , Schwarz, S. , Niederée, C. , Maus, H. and Kanhabua, N. The Forgotten Needle in My Collections: Task-Aware Ranking of Documents in Semantic Information Space Proceedings of the 1st ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), 2016. DOI I Google Scholar

Tran, N. K., Tran, T., Niederée, C. Beyond Time: Dynamic Context-Aware Entity Recommendation. ESWC 2017: 353-368. DOI I Google Scholar

Tuan-Anh Hoang, Thi Huyen Nguyen, Wolfgang Nejdl. Efficient Tracking of Breaking News in Twitter. In: Proceedings of the 10th ACM Conference on Web Science, pp. 135-136, 2019.

Ulfert-Blank, A.-S., Knabe, J., Jilek, C. Forgetting-enabled AI systems: Exploring the role of transparency perceptions and trust (accepted short paper, extended journal paper in preparation)

Ulfert, A. S., Antoni, C. H., & Ellwart, T. (2022). The role of agent autonomy in using decision support systems at work. Computers in Human Behavior, 126, 106987. DOI

Ulfert, A.-S., Antoni, C.H., & Ellwart, T. (2019). Effects of specialization in teams on individual information processing capacity and error rates. Presentation accepted at the 14. INGRoup Conference, July 2019, Lisbon.

Ulfert, A.-S., Antoni, C.H., & Ellwart, T. (2019). Intentional forgetting in teams: effects of knowledge distribution on information capacity. Presentation accepted at 19. EAWOP, June 2019, Turin.

Ulfert, A.-S., Reuter, L., Berndt, J.O., Antoni, C.H., Timm, I., & Ellwart, T. (2019). Utilizing Agent Based Modeling in Team Research: Simulating Team Mental Models of Expertise Location. Poster accepted at 19. EAWOP, June 2019, Turin.

Ulfert, A.-S. & Berndt, J.O. (2017). Intentionales Vergessen durch Prozess- & Rollengestaltung: Synergien bei interdisziplinärer Kooperation der Psychologie und Wirtschaftsinformatik. Presentation at the Ringvorlesung „Arbeit 4.0“. Universität Bielefeld and Universität Paderborn. Bielefeld, Oktober 2017.

Ulfert, Ellwart & Antoni (2017). Interviewbasierte Messung und Visualisierung von Rollen und Prozessen in Arbeitsgruppen. Ansatzpunkte für die Teamentwicklung und –adaptation. Poster präsentiert bei der 14. Arbeitstagung der Fachgruppe Differentielle Psychologie, Persönlichkeitspsychologie und Psychologische Diagnostik, September 2017, München.

Ulfert, Ellwart, Antoni, Reuter, Berndt & Timm (2017). Adaptive Prozess- und Rollengestaltung in Organisationen: Spezialisierung, Systemresistenz und Informationskapazität. Vortrag bei der 10. Tagung der Fachgruppe Arbeits-, Organisations- und Wirtschaftspsychologie, September 2017, Dresden.

Ulfert, Schout, Antoni, Timm, Reuter, Berndt & Ellwart (2018) Informationsverarbeitung durch autonome Softwareagenten. Einfluss wahrgenommener Kontrolle auf Nutzungsabsichten. Präsentation bei DGPS, September 2018, Frankfurt.

Ulfert, Schout, Antoni, Timm, Reuter, Berndt & Ellwart (eingereicht). Delegating information processing tasks to digital software agents (SA): Influence of perceived user control on information load.

Wilhelm, M., Howey, D., Kern-Isberner, G., Sauerwald, K., and Christoph Beierle. Activation-based conditional inference. Journal of Applied Logics, 10(2):221–248, 2023.

Wilhelm, M., Howey, D., Kern-Isberner, G., Sauerwald, K., and Christoph Beierle. Integrating cognitive principles from ACT-R into probabilistic conditional reasoning by taking the example of maximum entropy reasoning. In Fazel Keshtkar and Michael Franklin, editors, Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference (FLAIRS), Hutchinson Island, Florida, USA, May 15-18, 2022, 2022.

Wilhelm, M., Howey, D., Kern-Isberner, G., Sauerwald, K., and Christoph Beierle. A brief introduction into activation-based conditional inference. In Christoph Beierle, Marco Ragni, Frieder Stolzenburg, and Matthias Thimm, editors, Proceedings of the 7th Workshop on Formal and Cognitive Reasoning co-located with the 44th German Conference on Artificial Intelligence (KI 2021), September 28, 2021, volume 2961 of CEUR Workshop Proceedings, pages 4–8. CEUR-WS.org, 2021.

Xiong, B., Potyka, N., Tran, T.-K., Nayyeri, M., and Staab, S. (2022). Faithful Embedding for EL++ Knowledge Bases. Proceedings of the 21st International Semantic Web Conference (ISWC 2022), 1–16. DOI

Xiong, B., Zhu, S., Potyka, N., Pan, S., Zhou, C., and Staab, S. (2022). Pseudo-Riemannian Graph Convolutional Networks. Advances in Neural Information Processing Systems.