Behavioral Adaptation to Advanced Driver Assistance Systems: A Literature Review

This report examines theories and research on driver behavioral adaptation in light of advanced driver assistance systems that support driving tasks formerly managed exclusively by the driver.

March 2016

Suggested Citation

For media inquiries, contact:

Tamra Johnson
202-942-2079
TRJohnson@national.aaa.com

Authors

John M. Sullivan, Ph.D.

Michael J. Flannagan, Ph.D.

Anuj K. Pradhan, Ph.D.

Shan Bao, Ph.D.

Abstract

In this literature review, theories of driver behavioral adaptation (BA) are examined for the insight they can provide into how drivers will use advanced driver assistance systems (ADAS). Such systems are designed to support driving tasks formerly managed exclusively by the drivers themselves. How drivers react to this assistance will depend on the accuracy of their understanding (or mental model) of the functions and capabilities of a particular ADAS. Negative BA effects can arise when a driver’s mental model of an ADAS is incomplete or inaccurate. This may happen when an ADAS has functional limits that are reached only infrequently, and that are therefore difficult for a driver to notice and understand. Various ways to address this issue are described in the conclusions.

Suggested Citation

For media inquiries, contact:

Tamra Johnson
202-942-2079
TRJohnson@national.aaa.com

Authors

John M. Sullivan, Ph.D.

Michael J. Flannagan, Ph.D.

Anuj K. Pradhan, Ph.D.

Shan Bao, Ph.D.