Conference Proceeding

The Evolution of Autonomic Space as a Method of Mental Workload Assessment for Driving

Authors: John K Lenneman (General Motors, Warren, MI) , Vaughan W Backs (Central Michigan University, Mt Pleasant)

Abstract

Because heart rate lacks diagnosticity, an autonomic space approach for the assessment of mental workload has been proposed. In addition to increasing the capability to identify differences between tasks, the autonomic space approach can be used to make better inferences about the psychological processes involved. In this paper, the approach and its application to a simulated driving task are discussed, as well as suggestions for future research and its development.

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How to Cite: Lenneman, J. & Backs, V. (2003) “The Evolution of Autonomic Space as a Method of Mental Workload Assessment for Driving”, Driving Assessment Conference. 2(2003). doi: https://doi.org/10.17077/drivingassessment.1106