Jan‐Philipp Stein
Papers
8
Total Citations
126
H-Index
6
About
Jan-Philipp Stein is a leading researcher in human-robot interaction and the psychology of technology, exploring how people perceive and respond to humanoid robots and virtual agents. His work centers on the uncanny valley effect, robot-mediated communication, and the psychological impact of anthropomorphic design. Stein’s most-cited paper (49 citations) investigates user responses to humanoid robots across real life, virtual reality, 3D, and 2D presentations, revealing how mediated depictions shape evaluations. He has also shown that depicting advanced robots in harmful situations can improve user perceptions (21 citations), and that inconsistencies in virtual agents’ facial proportions and vocal realism reduce credibility but not persuasive success (14 citations). His studies on power-posing robots (14 citations) demonstrate how posture and size influence perceived dominance, competence, and threat, while his work on “mind-reading machines” (9 citations) examines distinct reactions to thought-detecting versus emotion-detecting robots. Stein’s recent contributions include exploring the uncanny valley’s layered complexities (2024) and individual differences in aversion to robots with complex mental abilities (2024). His research offers critical insights for designing socially acceptable and effective robotic and virtual systems, with growing impact in human-computer interaction and social robotics.
Research Focus
Key Achievements
Top Papers
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- 6After confronting one uncanny valley, another awaits9 citations · 2024
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