Preface to the Special Issue on Assessment and Effectiveness of Driver Monitoring Systems-Reference-Cited by-同舟云学术

Preface to the Special Issue on Assessment and Effectiveness of Driver Monitoring Systems

Published:2023-11-13 Issue: Volume: Page:
ISSN:0018-7208
Container-title:Human Factors: The Journal of the Human Factors and Ergonomics Society
language:en
Short-container-title:Hum Factors

Author:

Biondi Francesco N.¹²^ORCID,Horrey William J.³,Donmez Birsen⁴^ORCID

Affiliation:

1. University of Windsor, Windsor, ON, Canada

2. University of Utah, Salt Lake City, UT, USA

3. AAA Foundation for Traffic Safety, Washington, DC, USA

4. University of Toronto, Toronto, ON, Canada

Abstract

With vehicle automation becoming more commonplace, the role of the human driver is shifting from that of system operator to that of system supervisor. With this shift comes the risk of drivers becoming more disengaged from the task of supervising the system functioning, thus increasing the need for technology to keep drivers alert. This special issue includes the most up-to-date research on how drivers use vehicle automation, and the safety risks it may pose. It also investigates the accuracy that driver monitoring systems have in detecting conditions like driver distraction and drowsiness, and explores ways future drivers may respond to the broader introduction of this technology on passenger vehicles.

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics

Link

http://journals.sagepub.com/doi/pdf/10.1177/00187208231206073

Reference23 articles.

1. AAA (2019). Advanced driver assistance technology names. American Automobile Association, January, 1–21.https://www.aaa.com/AAA/common/AAR/files/ADAS-Technology-Names-Research-Report.pdf

2. Automation Confusion: Mental Models for Safe Vehicle Adoption

3. Vigilance Decrement During On-Road Partially Automated Driving Across Four Systems