Research theme: Behavioural Science and AI: Understanding Interactions between Humans and Intelligent Systems
Theme leads: Dr Dario Krpan & Dr Milena Tsvetkova
Behavioural Lab Affiliates: Dr Philipp Schoenegger, Sia Shahrizad, Haoran Shi
This research theme investigates how interactions with intelligent systems - such as AI assistants, language models, and synthetic agents - shape human thinking, emotions, and behaviour. For example, it examines when and why people trust AI recommendations, how algorithmic input can bias human judgement, how AI influences collective and individual reasoning and decision accuracy, and other related themes. The work spans applications from healthcare to forecasting and social support, and aims to inform the ethical and effective integration of AI into society by understanding its implications for human cognition and behaviour.
Selected Publications:
2025
Shrestha, P., Krpan, D., Koaik, F., Schnider, R., Sayess, D., & Binbaz, M. S. (2025). Beyond WEIRD: Can synthetic survey participants substitute for humans in global policy research? Behavioral Science & Policy, 23794607241311793.
2024
Bashkirova, A., & Krpan, D. (2024). Confirmation bias in AI-assisted decision-making: AI triage recommendations congruent with expert judgments increase psychologist trust and recommendation acceptance. Computers in Human Behavior: Artificial Humans, 2(1), 100066.
Krpan, D., & Urbaník, M. (2024). From libertarian paternalism to liberalism: behavioural science and policy in an age of new technology. Behavioural Public Policy, 8(2), 300-326.
Park, P. S., Schoenegger, P., & Zhu, C. (2024). Diminished diversity-of-thought in a standard large language model. Behavior Research Methods, 1-17.
Schoenegger, P., Park, P. S., Karger, E., Trott, S., & Tetlock, P. E. (2024). Ai-augmented predictions: Llm assistants improve human forecasting accuracy. ACM Transactions on Interactive Intelligent Systems.
Schoenegger, P., Tuminauskaite, I., Park, P. S., Bastos, R. V. S., & Tetlock, P. E. (2024). Wisdom of the silicon crowd: LLM ensemble prediction capabilities rival human crowd accuracy. Science Advances, 10(45), eadp1528.
Sha, S., Loveys, K., Qualter, P., Shi, H., Krpan, D., & Galizzi, M. (2024). Efficacy of relational agents for loneliness across age groups: a systematic review and meta-analysis. BMC Public Health, 24(1), 1802.
Tsvetkova, M., Yasseri, T., Pescetelli, N., & Werner, T. (2024). A new sociology of humans and machines. Nature Human Behaviour, 8(10), 1864–1876.
2023
Krpan, D., Booth, J. E., & Damien, A. (2023). The positive-negative-competence (PNC) model of psychological responses to representations of robots. Nature Human Behaviour, 7(11), 1933-1954.
Will, P., Krpan, D., & Lordan, G. (2023). People versus machines: introducing the HIRE framework. Artificial Intelligence Review, 56(2), 1071-1100.