Empirical Evaluation of Driving Behavior Improvements through Continuous Use of a Driver Agent

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Authors: Takahiro Tanaka
Cited by: 0
References: 2

Abstract

To address the growing issue of traffic accidents involving elderly drivers, we developed a Driver Agent System that provides real-time driving support and post-driving review feedback to encourage safer behavior. A nine-week nationwide field study was conducted with 25 drivers, including middle-aged and older drivers (ages 50–65), to investigate how continuous use of a Driver Agent influences driving behavior in daily life. Results showed clear improvements in driving behavior, including safer stopping at intersections, reduced speeding, and fewer sudden acceleration or deceleration events. Subjective evaluations also became more favorable over time, indicating increased reassurance, attachment, and a sense of companionship. The agent’s praising behavior enhanced positive emotions and motivation, suggesting that socially supportive interactions can sustain safer driving habits and help maintain long-term driving safety especially among elderly drivers. These findings demonstrate the potential of Driver Agents as an effective human–robot interaction approach for improving and sustaining safe driving behavior in daily life.

Fields of Study & Subjects

Human-Automation Interaction and Safety Social Robot Interaction and HRI Older Adults Driving Studies

Publication details

Journal / source
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Pages
140–144
Publication date
12 March 2026
Language
EN