Igor Schindler

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About

Igor Schindler’s research lies at the intersection of cognitive neuroscience and social cognition, exploring how humans perceive and predict the actions of others—including humanoid robots. His most cited work, “Human but not robotic gaze facilitates action prediction” (2022, 9 citations), systematically investigates whether people ascribe intentions to robots as they do to humans. Through six experiments, Schindler demonstrates a critical distinction: while humans effortlessly extract both non-mentalistic cues (where an agent looks) and mentalistic inferences (what an agent intends to do), robotic gaze fails to trigger the same predictive mechanisms. This finding challenges assumptions about human-robot interaction and has implications for designing more intuitive AI. Schindler’s contributions bridge fundamental questions in theory of mind with applied robotics, showing that our cognitive systems are finely tuned to human—not artificial—social signals. His work, though early in citation impact, is gaining traction in fields from developmental psychology to human-computer interaction, marking him as a rising voice in understanding the neural and behavioral bases of social prediction.