Y Ota

Papers

Total Citations

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About

Y Ota is a researcher in human-robot interaction, with a focus on how robotic systems can foster sustained, meaningful engagement with humans. Their key research areas include social robotics, human perception of artificial agents, and the design of interactional robots for home environments. Ota’s most cited work, “Effect of self-representation of interaction history by the robot on perceptions of mind and positive relationship,” investigates how a robot’s ability to recall and display past interactions influences a human’s perception of the robot’s mind and their relational bond. This study, with 13 citations, addresses a critical question in the field: what motivates people to continue interacting with a robot over time. By demonstrating that self-representation of interaction history enhances perceived mind and positive relationship, Ota contributes to the development of more socially intelligent and engaging robots. Their work is particularly relevant for home-use robots, where long-term user engagement is essential. Ota’s research offers valuable insights for designing robots that are not only functional but also perceived as social companions, advancing the goal of creating machines that can form genuine, lasting connections with people.