Location

Olympic Valley — Lake Tahoe, California

Date

28-6-2011

Session

Session 3 – Poster Session A

Abstract

The purpose of Advanced Driver Assistance Systems (ADAS) is to enhance traffic safety and efficiency. ADAS can be considered as a (still incomplete) collection of systems and subsystems towards a fully automated highway system, such as autonomous cars. However, as many researchers argue, in assessing the benefits of ADAS it has to be taken into account that any gains in terms of security may be again reduced by the fact they affect the drivers' behavior. In this paper, we introduce a schema of possible negative effects of advanced driver assistant systems according to which consequences of a system failure largely depend on the magnitude of over-reliance. Based on that schema, we itemize hypotheses on possible behavioral effects of a specific ADAS type, namely local danger alerts.

Rights

Copyright © 2011 the author(s)

DC Citation

Proceedings of the Sixth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, June 27-30, 2011, Olympic Valley — Lake Tahoe, California. Iowa City, IA: Public Policy Center, University of Iowa, 2011: 116-121.

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Jun 28th, 12:00 AM

A Schema of Possible Negative Effects of Advanced Driver Assistant Systems

Olympic Valley — Lake Tahoe, California

The purpose of Advanced Driver Assistance Systems (ADAS) is to enhance traffic safety and efficiency. ADAS can be considered as a (still incomplete) collection of systems and subsystems towards a fully automated highway system, such as autonomous cars. However, as many researchers argue, in assessing the benefits of ADAS it has to be taken into account that any gains in terms of security may be again reduced by the fact they affect the drivers' behavior. In this paper, we introduce a schema of possible negative effects of advanced driver assistant systems according to which consequences of a system failure largely depend on the magnitude of over-reliance. Based on that schema, we itemize hypotheses on possible behavioral effects of a specific ADAS type, namely local danger alerts.