The Effects of Vehicle Automation on Driver Engagement: The Case of Adaptive Cruise Control and Mind Wandering [techbrief]

Weaver, Starla; Roldan, Stephanie M.; Gonzalez, Tracy B.

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The Effects of Vehicle Automation on Driver Engagement: The Case of Adaptive Cruise Control and Mind Wandering [techbrief]

2021-01-01
By Weaver, Starla ; Roldan, Stephanie M. ; Gonzalez, Tracy B.

File Language:

English

Details

Creators:

Weaver, Starla ; Roldan, Stephanie M. ; Gonzalez, Tracy B.
Corporate Creators:

United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
Corporate Contributors:

Leidos, Inc.
Subject/TRT Terms:
Publication/ Report Number:

FHWA-HRT-21-017
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

United States. Federal Highway Administration. Office of Research, Development, and Technology
Abstract:

Adaptive cruise control (ACC) is a longitudinal control system through which a vehicle can automatically maintain a driver-selected speed and, through the use of radar or light detection and ranging sensors, a preselected gap between itself and a slower-moving vehicle ahead.(1) ACC is marketed as a convenience system that reduces stress and workload by relieving the driver of the need to continuously regulate vehicle speed and following gap.(2,3) However, if ACC reduces the attentional resources drivers must devote to driving, drivers using ACC may experience increased periods of mind wandering, characterized as thoughts that are decoupled from the external stimulus environment, which could reduce safety for both the driver and other road users. The current study examined the effects of ACC on mind-wandering prevalence and driving performance.
Format:

PDF
Funding:

DTFH61-13-D-00024
Download URL:

https://rosap.ntl.bts.gov/view/dot/54589/dot_54589_DS1.pdf
File Type:

[PDF - 337.76 KB]
Collection(s):

Autonomous Vehicles ; Federal Highway Administration
Main Document Checksum:

urn:sha-512:52cfbb54d799229d00fa7766006edb4dec25468b607653a0054b285e92b189d59e59e1543c1062888343a8054f30d1fae3549895b20027563600094c291d6e9a

File Language:

English

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