Research ArticleOpen AccessGoogle Scholar indexed
Effect of Difference in Form of Driving Support Agent to Driver’s Acceptability<br/>—Driver Agent for Encouraging Safe Driving Behavior (2)
Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
- 1 Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
- 2 Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
- 3 Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
- 4 Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
- 5 Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
- 6 Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
- 7 Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
Journal of Transportation Technologies·Volume 08 (2018)·Pages 194–208·Published 4 May 2018·DOI10.4236/jtts.2018.83011
Copy link · social · email
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.
KeywordsDriving supportAgentElderly
- Kumeta, K. (2015) Study on Analytical Method of Older Driver’s Occur Frequently Accident Types. Journal of Society of Automotive Engineers of Japan, 69, 90-95.
- Institute for Traffic Accident Research and Data Analysis (2007) ITARDA Information, 68.
- Kitajima, M., et al. (2008) Usability of Guide Signs at Railway Stations for Elderly Passengers—Focusing on Planning, Attention, and Working Memory. Japan Ergonomics Society, 44, 131-143.
- Kanemaru, T. and Kuwamoto, H. (2015) The Transition of HMI Technology and the Approach for In-Vehicle Infotainment System. Journal of Society of Automotive Engineers of Japan, 69, 39-42.
- Hosokawa, T., et al. (2016) Evaluation of an Assistance System for Elderly Drivers When Approaching Stop Intersections. JARI Research Journal, JRJ20161102.
- Haga, S. (2012) Risk Management and Accident Avoidance. Traffic Safety Education, 551, 6-16.
- DENSO (2013) Communication Robot Hana. http://www.globaldenso.com/en/newsreleases/events/tokyomotorshow/2013/booth/
- NISSAN (2005) Concept Car PIVO2. http://www.nissan-global.com/EN/PIVO2/index.html
- Katagami, D., Hongou, M. and Tanaka, T. (2014) Agent Design for the Construction of New Relationship between a Car and a Driver. 30th Fuzzy System Symposium, Kouchi, 2 September 2014, TA2-3.
- Nakagawa, Y., et al. (2014) Driving Assistance with Conversation Robot for Elderly Drivers. Universal Access in Human-Computer Interaction, LNCS, 8515, 750-761.
- Aoki, H., et al. (2015) Study on Driver Characteristics for Delaying Driving Cessation (1)-Database Construction of Older Drivers’ Human, Aging, Driving Characteristics. JSAE Annual Congress (Spring), 45-15S, 1091-1094.
- Tanaka, T., et al. (2017) Analysis of Relationship between Driving Behavior and Bio-Function of Drivers Including Elderly at Intersection with a Stop Sign: Study on Driver Characteristics for Delaying Driving Cessation. Journal of Society of Automotive Engineers of Japan, 48, 147-153.
- Driving Style Questionnaire (2004) Research Institute of Human Engineering for Quality Life.
- 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