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Multi-platform experiment to cross a boundary between laboratory and real situational studies: experimental discussion of cross-situational consistency of driving behaviors

Issue title: IEA 2012: 18th World congress on Ergonomics - Designing a sustainable future

Article type: Research Article

Authors: Terai, H.; | Miwa, K. | Okuda, H.; | Tazaki, Y. | Suzuki, T. | Kojima, K. | Morita, J. | Maehigashi, A. | Takeda, K.

Affiliations: Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan | Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan | Faculty of Human Sciences, Waseda University, 2-579-15, Mikajima, Tokorozawa, Saitama, Japan | Japan Advanced Institute of Science and Technology, 1-1, Asahidai, Nomi, Ishikawa, Japan | Japan Science and Technology Agency, Core Research for Evolutional Science and Technology, 4-1-8, Honmachi, Kawaguchi, Saitama, Japan

Note: [] E-mail: [email protected]

Keywords: behavior analysis, cross-situational consistency, driving behavior, laboratory studies, multi-environment, real situational studies

DOI: 10.3233/WOR-2012-0340-1471

Journal: Work, vol. 41, no. Supplement 1, pp. 1471-1476, 2012

Published: 2012
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Abstract

We constructed an innovative experimental platform to study cross-situational consistency in driving behavior, conducted behavioral experiments, and reported the data obtained in the experiment. To discuss cross-situational consistency, we separated situations in which people use some systems to conduct tasks into three independent conceptual factors: environment, context, and system. We report the experimental results with the following systems: a laboratory system with a gaming controller and steering/pedal controllers and a real system, COMS an instrumented vehicle. The results are summarized as follows. 1) The individual behaviors in each system were stable, and consistency was retained. 2) The consistency of the behaviors was also confirmed when the participants drove using different interfaces in identical systems. 3) However, only slight correlation was observed across different systems in a specific situation where a strong high-order cognitive constraint (i.e., rapid driving) and a weak low-order cognitive constraint (driving with easy handling toward a straight-line course) were given.

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