Naoki Koyama

Papers

Total Citations

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About

Naoki Koyama is a researcher at the forefront of human-robot interaction, specializing in how robots can express emotion and personality to become more socially engaging. His work centers on designing robotic behaviors that go beyond simple functionality, aiming to create machines that people genuinely like and trust. In his most cited paper, “Emotional or Social?” (2017, 11 citations), Koyama introduced a novel method for integrating a robot’s internal emotional state with its social context, proposing a unified expression system that makes interactions feel more natural. He further explored this in “Robotic eyes that express personality” (2019, 6 citations), where he demonstrated that an android’s eye movements and gaze patterns can convey distinct personality traits, making the robot more likeable and approachable. Though his citation counts are modest, Koyama’s contributions are foundational in the niche of affective and social robotics, bridging the gap between technical design and psychological impact. His work is particularly valuable for students and researchers interested in building robots that are not just tools, but relatable companions.