Yuto Sawa

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About

Yuto Sawa is a leading researcher in human-AI interaction, with a primary focus on understanding and measuring trust in autonomous and intelligent systems. His seminal work, "Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods" (2022, 77 citations), provides a critical synthesis of how trust has been conceptualized across diverse AI-infused platforms—from robots and virtual characters to smart vehicles and decision aids. This paper has become a foundational reference for the field, highlighting the absence of standardized measurement approaches and charting a roadmap for future empirical work. Sawa’s contributions are particularly notable for bridging theoretical models of trust with practical, scalable evaluation methods, helping to move the conversation from abstract definitions to actionable design guidelines. His research is essential reading for students and engineers developing trustworthy AI systems, as it clarifies how trust dynamics vary across contexts and why a one-size-fits-all metric remains elusive. By systematically scoping the landscape, Sawa has laid the groundwork for more rigorous, interdisciplinary studies that will shape the next generation of human-centered AI.