About

Christian Becker-Asano is a prominent researcher in human-robot interaction, social robotics, and affective computing, whose work has substantially advanced our understanding of how robots can communicate emotion and engage meaningfully with humans. He is perhaps best known for his investigations into android robots, particularly through his studies with the Geminoid series, where he explored how humanlike machines display and convey facial emotions. His 2011 paper evaluating the android Geminoid F's facial expressions has garnered 115 citations, while his fieldwork examining the "uncanny valley" phenomenon — the unsettling feeling humans experience when robots appear almost, but not quite, human — has become a touchstone in the field, drawing on real-world interaction data from the ARS Electronica festival. Beyond android research, Becker-Asano has made notable contributions to understanding emotional body language in robots, laughter as a para-verbal social signal, and gesture-based interaction with humanoid systems. His explorations of laughter in social robotics were pioneering, recognizing an often-overlooked dimension of human connection. With cumulative citations spanning hundreds of works, his research bridges technical robotics design and the nuanced psychological dimensions of human-machine relationships, making his scholarship essential reading for students and researchers shaping the future of social robotics.

Research Focus

Key Achievements

12
H-Index
27
Papers
485
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Evaluating facial displays of emotion for the android robot Geminoid F
115 citations · 2011
📈 Most Prolific Year: 2011 (6 Papers)
🤝 Key Collaborators: 56
🏛 Institutions: Advanced Telecommunications Research Institute International, University of Freiburg, University of Southern Denmark, Robert Bosch (Japan), Stuttgart Media University

Top Papers

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    Laughter in Social Robotics – no laughing matter
    17 citations · 2009
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Key Collaborators

Contact & Links

Available for collaboration
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