Project B03: Exploring users, roles, and explanations in real-world contexts
Where and how do people of different age, gender, and social backgrounds encounter Artificial Intelligence (AI) in their everyday lives and how do they perceive it? In order to answer this and other questions, researchers from the field of media studies and sociology affiliated to project B03 will draw on information provided by study participants via an app in which they document their daily interactions with various Artificial Intelligence technologies (such as digital assistance systems, health apps, and social media). Based on the data collected, the researchers will identify users' specific needs for AI explanations in order to determine specific expectations, needs and challenges of different user groups when it comes to explainable - and therefore successful – AI.
Research areas: Sociology, Media studies
Associate member
Lea Biere, Paderborn University
Support staff
Jennifer Dumpich, Paderborn University
Leonie von Egloffstein, Paderborn University
Esma Gökal, Paderborn University
Merle Mahne, Paderborn University
Former Members
Prof. Dr Ilona Horwath, Project leader
Publications
(De)Coding social practice in the field of XAI: Towards a co-constructive framework of explanations and understanding between lay users and algorithmic systems
J. Finke, I. Horwath, T. Matzner, C. Schulz, in: Artificial Intelligence in HCI, Springer International Publishing , Cham, 2022, pp. 149–160.
(De)Coding Social Practice in the Field of XAI: Towards a Co-constructive Framework of Explanations and Understanding Between Lay Users and Algorithmic Systems
J. Finke, I. Horwath, T. Matzner, C. Schulz, in: Artificial Intelligence in HCI, Springer International Publishing, Cham, 2022, pp. 149–160.
Vernacular Metaphors of AI
C. Schulz, A. Wilmes , in: ICA Preconference Workshop “History of Digital Metaphors”, University of Toronto, May 25 , n.d.
Forms of Understanding for XAI-Explanations
H. Buschmeier, H.M. Buhl, F. Kern, A. Grimminger, H. Beierling, J.B. Fisher, A. Groß, I. Horwath, N. Klowait, S.T. Lazarov, M. Lenke, V. Lohmer, K. Rohlfing, I. Scharlau, A. Singh, L. Terfloth, A.-L. Vollmer, Y. Wang, A. Wilmes, B. Wrede, (n.d.).
Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues
L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp, A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth, ArXiv:2504.18483 (2025).
Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues
L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp, A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth, in: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Association for Computational Linguistics, Avignon, France, n.d.
Structures Underlying Explanations
P. Jimenez, A.L. Vollmer, H. Wachsmuth, in: K. Rohlfing, K. Främling, B. Lim, S. Alpsancar, K. Thommes (Eds.), Social Explainable AI: Communications of NII Shonan Meetings, Springer Singapore, n.d.
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