Human-AI Interaction












A man interacts with VR glasses.










The Human-AI Interaction research area deals with the direct interaction interface between AI-based applications and their effects on human perceptions and behavioral patterns. In addition to typical topics of the design, adoption and use of AI applications, this also includes other topics such as algorithm aversion and its consequences for the cooperation between humans and AI (e.g. performance, satisfaction). It also deals with ethical issues such as responsibility and explainability of AI applications, especially those created by contemporary technologies (e.g. chatbots, generative AI).







Possible research questions are:



  • How do AI applications differ from non-AI applications
    (e.g. explainability, learning ability, autonomy, transparency, sensor technology, language processing)?

  • Under what conditions do users accept help from
    AI applications (e.g. delegation rights, responsibility, humanization, personalization, proactivity/reactivity)?
    And when and how do they reject help (e.g. fears, defense mechanisms)?

  • How can users make the best possible use of new forms of AI applications (e.g. efficiency, accuracy, reflection,
    creativity, innovation)?










Selected publications:



Adam, M., Diebel, C., Goutier, M., & Benlian, A. (2024). Navigating autonomy and control in human-AI delegation: User responses to technology- versus user-invoked task allocation.
Decision Support Systems
Link




Adam, M., Benlian, A., (2024). From web forms to chatbots: The roles of consistency and reciprocity for user information disclosure.
Information Systems Journal
Link




Adam, M., Roethke, K., Benlian, A. (2023). Human versus automated sales agents: How and why customer responses shift across sales stages.
Information Systems Research, 34(3), 1148–1168
Link




Wendt, C.,Werner, D., Adam M., Benlian, A. (2022). Influencing crowding at locations with decision support systems: The role of information timeliness and location recommendations.
Decision Support Systems, 160, 113817
Link




Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance.
Electronic Markets, 31(2), 427-445
Link




Berger, B., Adam, M., Rühr, A., Benlian, A. (2021). Watch me improve—Algorithm aversion and demonstrating the ability to learn.
Business & Information Systems Engineering, 63(1), 55-68
Link