Masahide Yuasa

Shonan Institute of Technology, Tokyo Denki University

Papers

Total Citations

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About

Masahide Yuasa’s research lies at the intersection of human-computer interaction, social robotics, and affective computing, with a particular focus on how animated agents shape human conversational experiences. His work explores the nuanced dynamics of human-agent relationships, investigating how visual appearance, behavioral consistency, and interactive turn-taking influence user perceptions and emotional responses. In his 2014 study, Yuasa demonstrated that animated agents can significantly enhance conversational mood, suggesting that well-designed virtual companions may foster more natural and satisfying interactions. His 2020 research further examined how users respond to agents’ past mistakes, revealing that forgiveness and trust depend heavily on the perceived consistency between an agent’s appearance and its actions—a finding with practical implications for long-term human-robot collaboration. Yuasa also contributed foundational work on autonomous turn-taking systems, developing behavior models that enable agents to engage in more fluid, human-like dialogue. Though his citation counts are modest, his studies offer valuable insights into the subtle social dynamics that govern human-agent communication. Yuasa’s research is particularly relevant for students and researchers designing empathetic, socially aware interactive systems.