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Cognitive workload measurement and modeling under divided attention

Castro, SC, Strayer, DL, Matzke, D and Heathcote, A ORCID: 0000-0003-4324-5537 2019 , 'Cognitive workload measurement and modeling under divided attention' , Journal of Experimental Psychology: Human Perception and Performance, vol. 45, no. 6 , pp. 826-839 , doi: 10.1037/xhp0000638.

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Abstract

Motorists often engage in secondary tasks unrelated to driving that increase cognitive workload, resulting in fatal crashes and injuries. An International Standards Organization method for measuring a driver's cognitive workload, the detection response task (DRT), correlates well with driving outcomes, but investigation of its putative theoretical basis in terms of finite attention capacity remains limited. We address this knowledge gap using evidence-accumulation modeling of simple and choice versions of the DRT in a driving scenario. Our experiments demonstrate how dual-task load affects the parameters of evidence-accumulation models. We found that the cognitive workload induced by a secondary task (counting backward by 3s) reduced the rate of evidence accumulation, consistent with rates being sensitive to limited-capacity attention. We also found a compensatory increase in the amount of evidence required for a response and a small speeding in the time for nondecision processes. The International Standards Organization version of the DRT was found to be most sensitive to cognitive workload. A Wald-distributed evidence-accumulation model augmented with a parameter measuring response omissions provided a parsimonious measure of the underlying causes of cognitive workload in this task. This work demonstrates that evidence-accumulation modeling can accurately represent data produced by cognitive workload measurements, reproduce the data through simulation, and provide supporting evidence for the cognitive processes underlying cognitive workload. Our results provide converging evidence that the DRT method is sensitive to dynamic fluctuations in limited-capacity attention.

Item Type: Article
Authors/Creators:Castro, SC and Strayer, DL and Matzke, D and Heathcote, A
Keywords: cognitive workload, detection response task, driving simulation, evidence accumulation modeling, multitasking
Journal or Publication Title: Journal of Experimental Psychology: Human Perception and Performance
Publisher: American Psychological Association
ISSN: 0096-1523
DOI / ID Number: 10.1037/xhp0000638
Copyright Information:

© 2019 American Psychological Association

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