Member of the Social Processes Lab
Miriam Gieselmann has been a researcher in the Social Processes lab at the IWM since November 2020. She is part of the cooperation network "Human-Agent Interaction". In her research, she investigates the acceptance of Artificial Intelligence (AI). In particular, she focuses on the impact of (perceived) characteristics of AI systems on people’s willingness to disclose personal data to these systems.
Miriam Gieselmann studied Psychology (M.Sc. 2020) at Ulm University and Chemnitz University of Technology and defended her dissertation in January 2024 at the IWM. During her studies, she worked as a student assistant in several research projects focusing on human-technology interaction.
Gieselmann, M., & Sassenberg, K. (2023). The more competent, the better? The effects of perceived competencies on disclosure towards conversational Artificial Intelligence. Social Science Computer Review, 41(6), 2342-2363. https://dx.doi.org/10.1177/08944393221142787 [Data]
Open Access
Tschopp, M., Gieselmann, M., & Sassenberg, K. (2023). Servant by default? How humans perceive their relationship with conversational AI. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 17(3), Article 9. https://dx.doi.org/10.5817/cp2023-3-9
Open Access
Greussing, E., Gaiser, F., Klein, S. H., Straßmann, C., Ischen, C., Eimler, S., Frehmann, K., Gieselmann, M., Knorr, C., Lermann Henestrosa, A., Räder, A., & Utz, S. (2022). Researching interactions between humans and machines: Methodological challenges. Publizistik, 67(4), 531-554. https://dx.doi.org/10.1007/s11616-022-00759-3
Open Access
Lanzer, M., Gieselmann, M., Mühl, K., & Baumann, M. (2021). Assessing crossing and communication behavior of pedestrians at urban streets. Transportation Research Part F: Traffic Psychology and Behaviour, 80, 341-358. https://dx.doi.org/10.1016/j.trf.2021.05.001
request document
Gieselmann, M., & Sassenberg, K. (2023). The relevance of perceived interactivity for disclosure towards conversational artificial intelligence. In H. Degen & S. Ntoa (Eds.), Artificial Intelligence in HCI. HCII 2023. Lecture Notes in Computer Science (Vol. 14051, pp. 55-67). Springer. https://dx.doi.org/10.1007/978-3-031-35894-4_4
Gieselmann, M., & Sassenberg, K. (2023, September 12-15). Wann akzeptieren Manager den Einsatz von KI-Systemen? Der Einfluss des Unternehmensbereichs und der KI-Funktionalität. 13. Fachgruppentagung der Fachgruppe Arbeits-, Organisations- und Wirtschaftspsychologie. Kassel. [Vortrag]
Gieselmann, M., & Sassenberg, K. (2023, March 6-7). The more competent, the better? The effects of perceived competencies on disclosure towards conversational AI. Conversing with Artificial Intelligence - Implications for Communication, Relationship-Building and Understanding. Berlin. [Poster]
Gieselmann, M. & Sassenberg, K. (2023, July 23-28). The relevance of interactivity for disclosure towards conversational artificial intelligence. 25th International Conference on Human-Computer Interaction (HCII). Copenhagen, Denmark. [Talk]
Gieselmann, M., & Sassenberg, K. (2022, September 10-15). How do perceived competencies affect privacy concerns towards conversational AIs? 52. Kongress der Deutschen Gesellschaft für Psychologie (DGPs). Hildesheim. [Talk]
Gieselmann, M., & Sassenberg, K. (2022, March 20-23). How do perceived competencies affect privacy concerns towards conversational AIs? 64. Tagung experimentell arbeitender Psycholog:innen (TeaP) - Conference of Experimental Psychologists. University of Cologne (online conference). [Talk]
Gieselmann, M., & Sassenberg, K. (2022). Dataset for: The more competent, the better? – The effects of perceived competencies on disclosure towards conversational Artificial Intelligence. https://dx.doi.org/10.23668/psycharchives.12175 [Publication]
Miriam Gieselmann
Schleichstraße 6