Research Interests and Areas of Expertise
- Quantitative Behavioral Research Methods
- Artificial Intelligence (AI)
- Human-Computer Interaction (HCI)
- Judgment and Decision-Making (JDM)
- Social Cognition/Rationality
Experimentation following psychological and economic traditions and the development and application of advanced quantitative methods (e.g., Rebholz, Biella, et al., 2024; Rebholz, Groß, et al., 2025) form the methodological roof of my research program investigating how people form judgments, make choices, and update their beliefs.
The phenomena I study empirically can be clustered into four main pillars:
- Informational and social influence from others, e.g.:
- Advice taking (Rebholz & Hütter, 2022)
- Sequential sampling and utilization of external evidence, e.g.:
- Bayesian updating (Rebholz et al., 2023; Schreiner, Rebholz, et al., 2025)
- The adaptiveness of belief updating in these contexts, e.g.:
- Heuristics and biases (Buttliere et al., 2024; Mayer & Rebholz, 2024; Rebholz, Groß, et al., 2025; Röseler et al., 2025)
- Science communication (Schreiner, Quevedo Pütter, et al., 2025; Schreiner, Rebholz, et al., 2025)
- Implications of these phenomena for human-computer interaction, e.g.:
- Algorithm aversion vs. appreciation (Rebholz, 2026; Rebholz, Koop, et al., 2024)
- Interpersonal dynamics (Rebholz, Uphoff, et al., 2025)
- Metacognitive AI (Scholten et al., 2025)