Fumiya Kinoshita

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About

Fumiya Kinoshita is a leading researcher in human-agent interaction and intelligent transportation systems, with a focused mission to enhance road safety for aging populations. His work centers on developing driver-agent systems that encourage safe driving behavior among the elderly—a critical issue in Japan, where traffic accidents involving older drivers are rising. Kinoshita’s major contributions include designing and evaluating driver agents that adapt their form and interaction style to improve driver acceptability and compliance. His most cited paper, "Driver Agent for Encouraging Safe Driving Behavior for the Elderly" (2017, 33 citations), introduces a novel agent-based approach to assist elderly drivers without compromising their independence. A follow-up study (2018, 20 citations) explores how variations in the agent’s physical form affect user acceptance, providing key insights for human-centered AI design. By bridging psychology, ergonomics, and automotive engineering, Kinoshita’s work directly addresses a pressing societal challenge: enabling safe mobility for older adults. His research is not only highly cited but also practically impactful, informing the development of empathetic, non-intrusive driving support systems. For students and researchers, Kinoshita exemplifies how human-agent interaction can be leveraged for social good, making roads safer for all generations.