Yuki Yoshihara
Papers
4
Total Citations
33
H-Index
3
About
Yuki Yoshihara is a researcher whose work spans human-robot interaction, intelligent driving support systems, and bio-inspired learning algorithms. Their most impactful contributions center on the design and evaluation of Driving Support Agents (DSAs) — robotic or virtual agents intended to promote safer driving behavior, particularly among elderly populations. As Japan faces growing challenges associated with an aging society and a rising incidence of traffic accidents involving older drivers, Yoshihara's research addresses a pressing social need by investigating how agent embodiment, anthropomorphism, and conversational strategies influence driver acceptance and behavior. A notable line of inquiry explores how social distance expressed through an agent's utterances shapes psychological acceptability, revealing that communication style is as critical as physical form in human-agent interaction. Yoshihara has also contributed to the theoretical foundations of adaptive systems through stability analysis of tacit learning, a biologically inspired framework for behavioral adaptation through environmental signal accumulation. With citations across multiple interdisciplinary venues and continued work into robotic interface design for elderly drivers, Yoshihara's research meaningfully bridges cognitive science, robotics, and traffic safety — offering practical pathways toward technology that supports human well-being on the road.
Research Focus
Key Achievements
Top Papers
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