In this Proseminar, we discuss research results from the field of Human Computer Interaction with a focus on computer science. In recent decades, this area has changed extensively, mainly through technological innovations. We primarily consider these changed interactions between one or more people and one or more computers.
This time we will focus specifically on interactions with large language models (LLMs). We will explore new ways that these tools allow us to interact with technology. We will also consider the implications of generative AI for users and society at large.
In this course, we will cover a selection of important paper on pioneering work in HCI. Each semester, the focus of the more recent work might change. Each week, one student will present one important approach, and we will discuss it in class. Within presentations students have to introduce the assigned readings, will discuss them in context and will derive new, possible topics. Articles are chosen because they describe either a specific sub--area, represent the first article in a specific area, or introduce different approaches in the area.
Topic Paper
# | Paper | Research Methods | Student |
---|---|---|---|
1 |
Gerlich, M. "AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking." Social Science Research Network, 2025, https://doi.org/10.2139/ssrn.5082524 |
Survey, Interview | Dunia Hassan |
2 | "The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers." Microsoft Research, 2025, www.microsoft.com/en-us/research/wp-content/uploads/2025/01/lee_2025_ai_critical_thinking_survey.pdf. | Survey | Watsche Khalatyan |
3 | Kim, S. S. Y., et al. "Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies." Proceedings of the 2025 Conference, 2025, https://arxiv.org/pdf/2502.08554 | User Study | Vincent Fitte |
4 | Araya Gebreegziabher, Simret, et al. "PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis." Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, 2023, pp. 1-19, https://doi.org/10.1145/3544548.3581352 | User Study | |
5 | Wester, Joel, et al. "Exploring People's Perceptions of LLM-Generated Advice." Computers in Human Behavior: Artificial Humans, vol. 2, no. 2, 2024, pp. 100072, https://doi.org/10.1016/j.chbah.2024.100072 | Experiment, Survey | Rosa Nonell |
6 | Steyvers, M., et al. "What Large Language Models Know and What People Think They Know." Nature Machine Intelligence, vol. 7, no. 2, 2025, pp. 221-231, https://doi.org/10.1038/s42256-024-00976-7 | Experiment, Survey | Lea Plümacher |
7 | Pataranutaporn, P., et al. "Influencing Human-AI Interaction by Priming Beliefs about AI Can Increase Perceived Trustworthiness, Empathy and Effectiveness." Nature Machine Intelligence, vol. 5, 2023, pp. 1076-1086, https://doi.org/10.1038/s42256-023-00720-7 | Experiment | Moritz Weck |
8 | Norhashim, Hakim, and Jungpil Hahn. "Measuring Human-AI Value Alignment in Large Language Models." Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society, AAAI Press, 2025, pp. 1063-1073, https://dl.acm.org/doi/10.5555/3716662.3716754 | Case Study | Frederik Alpers |
9 | Berge, Arngeir, et al. "Designing for control in nurse-ai collaboration during emergency medical calls." Proceedings of the 2023 ACM Designing Interactive Systems Conference. 2023. https://doi.org/10.1145/3563657.3596110 | Interview, Prototyping | |
10 | Hussain, Muhammad, et al. "Development and translation of human-AI interaction models into working prototypes for clinical decision-making." Proceedings of the 2024 ACM Designing Interactive Systems Conference. 2024. https://doi.org/10.1145/3643834.3660697 | Prototyping, Wizard of Oz | Nils Plum |
11 | Rege, Akshay, et al. "‘Talking with your Car’: Design of Human-Centered Conversational AI in Autonomous Vehicles." Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. 2024. https://doi.org/10.1145/3640792.3675713 | Interview, Wizard of Oz | Karl Naumann |
12 | Kaate, Ilkka, et al. "“You Always Get an Answer”: Analyzing Users’ Interaction with AI-Generated Personas Given Unanswerable Questions and Risk of Hallucination." Proceedings of the 30th International Conference on Intelligent User Interfaces. 2025. https://doi.org/10.1145/3708359.3712160 | Experiment, Survey | Dennis Gianelli |
Research Method Resources
Research Method | Resources |
---|---|
Interview |
J. Lazar, J. H. Feng, and H. Hochheiser, Research Methods in Human-Computer Interaction, 2nd Aufl. Morgan Kaufmann, 2017.https://www.sciencedirect.com/book/9780128053904/research-methods-in-human-computer-interaction#book-description Chapter 5 (Interviews) |
Survey |
J. Lazar, J. H. Feng, and H. Hochheiser, Research Methods in Human-Computer Interaction, 2nd Aufl. Morgan Kaufmann, 2017.https://www.sciencedirect.com/book/9780128053904/research-methods-in-human-computer-interaction#book-description Chapter 5 (Surveys) |
User Study |
J. Lazar, J. H. Feng, and H. Hochheiser, Research Methods in Human-Computer Interaction, 2nd Aufl. Morgan Kaufmann, 2017. https://www.sciencedirect.com/book/9780128053904/research-methods-in-human-computer-interaction#book-description Chapter 10 (Usability Studies) |
Experiment |
J. Lazar, J. H. Feng, and H. Hochheiser, Research Methods in Human-Computer Interaction, 2nd Aufl. Morgan Kaufmann, 2017. https://www.sciencedirect.com/book/9780128053904/research-methods-in-human-computer-interaction#book-description Chapter 2 und 3 |
Case Study |
J. Lazar, J. H. Feng, and H. Hochheiser, Research Methods in Human-Computer Interaction, 2nd Aufl. Morgan Kaufmann, 2017.https://www.sciencedirect.com/book/9780128053904/research-methods-in-human-computer-interaction#book-description Chapter 7 (Case Study) |
Prototyping |
J. Lazar, J. H. Feng, and H. Hochheiser, Research Methods in Human-Computer Interaction, 2nd Aufl. Morgan Kaufmann, 2017. https://www.sciencedirect.com/book/9780128053904/research-methods-in-human-computer-interaction#book-description Chapter 10 (Usability Studies) https://www.interaction-design.org/literature/topics/prototypes |
Wizard of Oz |
D. Maulsby, S. Greenberg, and R. Mander. Prototyping an intelligent agent through Wizard of Oz. In Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems (CHI '93). Association for Computing Machinery, New York, NY, USA, 1993. 277–284. https://doi.org/10.1145/169059.169215 |