Kento Ogawa

Papers

Total Citations

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About

Kento Ogawa explores the intersection of human-robot interaction and social cognition, focusing on how robots can foster long-term, meaningful relationships with people. His most cited work, "Effect of self-representation of interaction history by the robot on perceptions of mind and positive relationship," investigates a critical question: what motivates humans to sustain engagement with an interactional robot? Ogawa demonstrates that a robot’s ability to represent its own interaction history—essentially, to “remember” past encounters—significantly enhances users’ perceptions of the robot’s mind and interactability. This, in turn, cultivates a more positive, enduring human-robot relationship. By showing that perceived mental capacity is a key driver of continued interaction, his research offers practical insights for designing home-use robots that feel more like companions than tools. With 13 citations, this case study on a home-use robot has laid groundwork for understanding how social cues, like memory and self-disclosure, can bridge the gap between functional automation and perceived social agency. Ogawa’s work is particularly valuable for researchers in social robotics and human-computer interaction, as it provides a clear framework for evaluating and enhancing user motivation in long-term deployments.