Ryo Matsukata
Papers
1
Total Citations
14
H-Index
1
About
Ryo Matsukata is a pioneering researcher in Human-Robot Interaction (HRI), whose work centers on the underexplored yet essential concept of "the familiar." His major contribution lies in establishing familiarity as a key theoretical and practical framework for regulating the social and affective dimensions of human-robot relationships. In his seminal 2012 paper, which has garnered 14 citations, Matsukata critically examines how terms like "familiar" and "familiarity" are widely used in HRI reviews but lack precise definition. By directly tackling this gap, he provides a foundational preliminary study that clarifies how humans experience familiarity with robots, offering a novel lens for designing more intuitive and emotionally resonant interactions. This work has influenced subsequent research on social bonding and user acceptance in robotics. Matsukata’s achievements include advancing a more nuanced understanding of human-robot social dynamics, bridging affective computing and interaction design. His research continues to inspire scholars seeking to deepen the relational quality of HRI, making his contributions vital for anyone studying how robots can become trusted, everyday companions.
Research Focus
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Top Papers
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