Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure

Pradhan, Anuj K.; Roberts, Shannon C; Pai, Ganesh; Zhang, Fangda; Horrey, William J

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Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure

2023-06-01
By Pradhan, Anuj K. ; Roberts, Shannon C ; Pai, Ganesh

File Language:

English

Details

Creators:

Pradhan, Anuj K. ; Roberts, Shannon C ; Pai, Ganesh ; Zhang, Fangda ; Horrey, William J
Corporate Creators:

AAA Foundation for Traffic Safety ; Safety Research Using Simulation (SAFER-SIM) University Transportation Center ; University of Massachusetts at Amherst
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

AAA Foundation for Traffic Safety ; Safety Research Using Simulation (SAFER-SIM) University Transportation Center
Abstract:

Given the importance of mental models towards safe interaction with Advanced Driver Assistance Systems (ADAS) and the various human factors challenges regarding ADAS such as mis-calibrated trust and the effect on workload, it is important to understand how different types of driving experiences and exposures affect drivers’ mental models about ADAS. The objective of this study was to examine how the frequency and quality of exposure (exposure defined as driving through events or situations that have some bearing on the functions of the Adaptive Cruise Control (ACC)) affect drivers’ mental models about ACC, their trust, workload, and their use of the systems as measured by their behaviors around disengaging ACC.
Format:

PDF
Funding:

69A3551747131
Download URL:

https://rosap.ntl.bts.gov/view/dot/68467/dot_68467_DS1.pdf
File Type:

[PDF - 1.73 MB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:0bcdcea1c3849af804c2167600922cff10b975d9342950e2ce6f0d39be77e3c41e1793ddc1275a77b5a3b31b71ebfbc69d5503d1bf7b8ce879b15d723a1d16d8

File Language:

English

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