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Multivariate Differences in Driver Workload: Test Track Versus On-Road Driving

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Advances in Human Aspects of Transportation (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 597))

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Abstract

In a continuing effort to examine data from the Crash Avoidance Metrics Partnership (CAMP), Driver Workload Metrics Project (DWM) (The Driver Workload Metrics project, a co-operative agreement between the NHTSA, Ford, GM, Nissan, and Toyota, was conducted under the Crash Avoidance Metrics Partnership (CAMP), established by Ford and GM to undertake joint precompetitive work in advanced collision avoidance systems.) this paper identified correlates of driver workload, a construct defined as the competition in driver resources (perceptual, cognitive, or physical) between the driving task and a concurrent secondary task occurring over that task’s duration. Data from 24 on-road and 24 test-track subjects who performed visual-manual, auditory vocal, a combination of both, or just drive tasks, were analyzed using Maximum Likelihood Factor Analysis (MLFA). Results found that there were seven hidden factors that still explained about 62% of the original variance from the original 42 variables. Factors scores for each subject were analyzed with Multivariate Analysis of Variance (MANOVA). Results found highly statistically significant workload differences in venue, age groups, task type, and gender. Results from radar plots visually define the subjective concept of driver workload.

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Acknowledgements

Much praise goes to the Driver Workload Metrics project team: L. Angell, P.A. Austria, D. Kochhar, L. Tijerina, W. Biever, T. Diptiman, J. Hogsett, and S. Kiger. They endured much but made a significant contribution to the understanding of driver workload.

Thanks go to Manuel Meza-Arroyo, Ph. D. who worked to help generate meaningful factor names based on the data.

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Authors and Affiliations

  1. Engineering Systems Incorporated, 1174 Oak Valley Drive, Ann Arbor, MI, 48108, USA

    Jack L. Auflick

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  1. Jack L. Auflick
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Correspondence to Jack L. Auflick .

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Editors and Affiliations

  1. Human Factors Engineering, Transportation Research Group, Boldrewood Innovation Campus, University of Southampton, Southampton, United Kingdom

    Neville A Stanton

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Auflick, J.L. (2018). Multivariate Differences in Driver Workload: Test Track Versus On-Road Driving. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_89

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  • DOI: https://doi.org/10.1007/978-3-319-60441-1_89

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60440-4

  • Online ISBN: 978-3-319-60441-1

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