Situational Awareness, Driver’s Trust in Automated Driving Systems and Secondary Task Performance

SAE International Journal of Connected and Autonomous Vehicles, Forthcoming

26 Pages Posted: 26 Mar 2019

See all articles by Luke Petersen

Luke Petersen

University of Michigan at Ann Arbor

Lionel Robert

University of Michigan at Ann Arbor - School of Information

X. Jessie Yang

University of Michigan at Ann Arbor

Dawn Tilbury

University of Michigan at Ann Arbor - Department of Mechanical Engineering

Date Written: February 20, 2019

Abstract

Driver assistance systems, also called automated driving systems, allow drivers to immerse themselves in non-driving-related tasks. Unfortunately, drivers may not trust the automated driving system, which prevents either handing over the driving task or fully focusing on the secondary task. We assert that enhancing situational awareness can increase a driver's trust in automation. Situational awareness should increase a driver's trust and lead to better secondary task performance. This study manipulated driversʼ situational awareness by providing them with different types of information: the control condition provided no information to the driver, the low condition provided a status update, while the high condition provided a status update and a suggested course of action. Data collected included measures of trust, trusting behavior, and task performance through surveys, eye-tracking, and heart rate data. Results show that situational awareness both promoted and moderated the impact of trust in the automated vehicle, leading to better secondary task performance. This result was evident in measures of self-reported trust and trusting behavior.

Suggested Citation

Petersen, Luke and Robert, Lionel and Yang, X. Jessie and Tilbury, Dawn, Situational Awareness, Driver’s Trust in Automated Driving Systems and Secondary Task Performance (February 20, 2019). SAE International Journal of Connected and Autonomous Vehicles, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3345543 or http://dx.doi.org/10.2139/ssrn.3345543

Luke Petersen

University of Michigan at Ann Arbor

500 S. State Street
Ann Arbor, MI 48109
United States

Lionel Robert (Contact Author)

University of Michigan at Ann Arbor - School of Information ( email )

4388 North Quad
105 South State Street
Ann Arbor, MI 48109-1092
United States

HOME PAGE: http://www.si.umich.edu/people/lionel-robert

X. Jessie Yang

University of Michigan at Ann Arbor

500 S. State Street
Ann Arbor, MI 48109
United States

Dawn Tilbury

University of Michigan at Ann Arbor - Department of Mechanical Engineering ( email )

United States

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