Tanaka, T., et al. (2018) Study on Driver Agent Based on Analysis of Driving Instruction Data-Driver Agent for Encouraging Safe Driving Behavior (1). IEICE Transactions on Information and Systems, E101, 1401-1409.
https://doi.org/10.1587/transinf.2017EDP7203

has been cited by the following article:

• TITLE: Effect of Difference in Form of Driving Support Agent to Driver’s Acceptability—Driver Agent for Encouraging Safe Driving Behavior (2)

  AUTHORS: Takahiro Tanaka, Kazuhiro Fujikake, Takashi Yonekawa, Makoto Inagami, Fumiya Kinoshita, Hirofumi Aoki, Hitoshi Kanamori

  KEYWORDS: Driving support, Agent, Elderly

  JOURNAL NAME: Journal of Transportation Technologies, Vol.8 No.3, July 3, 2018

  ABSTRACT: In recent years, the number of traffic accidents caused by elderly drivers has increased in Japan. However, a car is an important mode of transportation for the elderly. Therefore, to ensure safe driving, a system that can assist elderly drivers is required. In this study, we propose a driver-agent system that provides support to elderly drivers during and after driving and encourages them to improve their driving. This paper describes the prototype system based on the analysis of the teaching records of a human instructor, and the subjective evaluation of driving support to elderly and non-elderly driver from three different agent forms, a voice, visual, and robot. The result revealed that the robot form is more noticeable, familiar, and acceptable to the elderly and non-elderly than other forms.