Michael Zehetleitner
Papers
2
Total Citations
22
H-Index
2
About
Michael Zehetleitner’s research lies at the intersection of cognitive psychology, human-robot interaction, and affective computing, with a focus on how humans perceive and interpret social signals. His work explores the mechanisms of gaze perception, emotional expression, and nonverbal communication, aiming to bridge the gap between human cognition and artificial agents. A key contribution is his demonstration that integrating first-person gaze perspectives with third-person observations significantly enhances robots’ ability to infer human behaviors—a finding with 13 citations that advances the field of socially aware robotics. In affective computing, Zehetleitner developed a psychological system-theoretic approach to generating artificial smile variations (9 citations), providing a principled framework for creating nuanced, believable emotional expressions in virtual and robotic agents. This work underscores the importance of subtlety in nonverbal cues for improving human-machine interaction. Zehetleitner’s research is notable for its interdisciplinary rigor, combining experimental psychology with computational modeling to inform the design of more perceptive and expressive artificial systems.
Research Focus
Key Achievements
Top Papers
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