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Behavioral adaptation to advanced driver-assistance systems

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3 Author(s)
Toshihiro Hiraoka ; Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, Japan ; Junya Masui ; Seimei Nishikawa

Advanced driver-assistance systems (ADAS) such as a forward obstacle collision warning system (FOCWS) and a night vision enhancement system (NVES) aim to decrease driver's mental workload and enhance vehicle safety by provision of useful information to support driver's perception process and judgment process. On the other hand, the risk homeostasis theory (RHT) cautions that an enhanced safety and a reduced risk would cause a risk compensation behavior such as increasing the vehicle velocity. Therefore, the present paper performed the driving simulator experiments to discuss dependence on the NVES and emergence of the risk compensation behavior. Moreover, we verified the side-effects of spontaneous behavioral adaptation derived from the presentation of the fuel-consumption meter on the risk compensation behavior.

Published in:

SICE Annual Conference 2010, Proceedings of

Date of Conference:

18-21 Aug. 2010