Computational Models for Workload Analysis of Driving Tasks-Reference-Cited by-同舟云学术

Computational Models for Workload Analysis of Driving Tasks

Published:2021-09 Issue:1 Volume:65 Page:690-694
ISSN:2169-5067
Container-title:Proceedings of the Human Factors and Ergonomics Society Annual Meeting
language:en
Short-container-title:Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Author:

Handley Holly¹,Thompson Deborah²

Affiliation:

1. Old Dominion University

2. Volvo Group North America

Abstract

This paper describes a methodology to design computational models to evaluate the workload for driving tasks. A computational model was configured for a driving scenario used in a pilot study that included a secondary task at varying levels of difficulty to increase the driver’s workload. The computational model results provided a workload analysis of the concurrent driving tasks. This analysis can be used to explain the experimental findings from subject experiments and to evaluate the workload trade-offs between primary and secondary driving tasks.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Link

http://journals.sagepub.com/doi/pdf/10.1177/1071181321651047

Reference27 articles.

1. Driver Workload Metrics Task 2 Final Report

2. Angell L., Perez M. (2013). Explanatory Material About the Definition of a Task Used in NHTSA’s Driver Distraction Guidelines. DOT HS 811 858, NHTSA, Washington, DC.

3. The impact of smart driving aids on driving performance and driver distraction

4. Cooper J., Ingebretsen H., Strayer D. (2014). Mental Workload of Common Voice-Based Interactions across Six Different Vehicle Systems, AAA Foundation for Traffic Safety, Washington, DC.

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