Yuki Kayukawa
Papers
2
Total Citations
41
H-Index
2
About
Yuki Kayukawa is a pioneering researcher in human-robot interaction, specializing in how emotional expressions from real humanoid robots influence human decision-making. Their most cited work, "Emotional Expressions of Real Humanoid Robots and Their Influence on Human Decision-Making in a Finite Iterated Prisoner’s Dilemma Game" (2021, 31 citations), demonstrates that robot emotions can strategically alter human choices in cooperative and competitive scenarios. Building on earlier findings (2017, 10 citations), Kayukawa showed that emotional cues from robots—such as happiness or disappointment—affect human trust and reciprocity, modeled through fuzzy inference systems. This research bridges robotics, psychology, and game theory, offering insights for designing socially intelligent machines. Kayukawa’s work has been influential in shaping how robots can use emotion to guide human behavior, with implications for assistive technology, education, and collaborative AI. Their contributions highlight the subtle yet powerful role of non-verbal communication in human-robot relationships, making them a key figure in the field of social robotics.
Research Focus
Key Achievements
Top Papers
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