Kota Gushima

Papers

Total Citations

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About

Kota Gushima is a researcher exploring the intersection of human-computer interaction, educational technology, and robotics. His work investigates how autonomous systems can enhance—rather than diminish—human cognition and well-being. Gushima’s most cited paper (2021, 8 citations) examines the relationship between learning by teaching with teachable chatbots and the Big Five personality traits, revealing that the effectiveness of teachable agents varies significantly across users. This contribution highlights the need for personalized educational tools that adapt to individual differences. In another notable study (2019, 2 citations), Gushima introduced the “Mercurial Robot,” a novel work assistant designed to preserve opportunities for light physical activity and a sense of accomplishment in an increasingly automated world. By proposing robots that intentionally introduce variability or challenge, Gushima challenges the assumption that automation should always prioritize efficiency. His work has implications for designing technology that supports lifelong learning and physical engagement, offering a human-centered perspective on AI and robotics. With a growing citation record, Gushima is establishing himself as a thoughtful voice in the design of interactive systems that nurture both mind and body.