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Using response time modeling to understand the sources of dual-task interference in a dynamic environment

Citation

Palada, H and Neal, A and Strayer, D and Ballard, T and Heathcote, A, Using response time modeling to understand the sources of dual-task interference in a dynamic environment, Journal of Experimental Psychology ISSN 0096-1523 (2019) [Refereed Article]


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Copyright Statement

Copyright 2019 American Psychological Association. This paper is not the copy of record and may not exactly replicate the authoritative document published in the APA journal. Please do not copy or cite without author's permission. The final article is available, upon publication, at: https://psycnet.apa.org/record/2019-36983-001?doi=1

DOI: doi:10.1037/xhp0000672

Abstract

This article examines the causes of dual-task interference in a time pressured dynamic environment. Resource sharing theories are often used as a theoretical framework to understand dual-task interference. These frameworks propose that resources from a limited pool of information-processing capacity are reallocated toward the primary task as task load increases and, as a result, secondary-task performance declines if the total demand exceeds capacity limit. However, tests of resource models have relied on behavioral results that could be because of a number of different cognitive processes, including changes in response caution, rate of information processing, nondecision processes, and response biases. We applied evidence-accumulation models to quantify the cognitive processes underlying performance in a dual-task paradigm to examine the causes underlying dual-task interference. We fit performance in time-pressured environment on both a primary classification task and a secondary detection task using evidence-accumulation models. Under greater time pressure, the rate of information processing increased for the primary task while response caution decreased, whereas the rate of information processing for the secondary task declined with greater time pressure. Assuming the rate of evidence accumulation is proportional to available capacity these results are consistent with resource theory and highlight the value of evidence-accumulation models for understanding the complex set of processes underlying dual-task interference.

Item Details

Item Type:Refereed Article
Keywords:detection response task, response time modeling, linear ballistic accumulator, Wald model, workload, time pressure
Research Division:Psychology and Cognitive Sciences
Research Group:Cognitive Sciences
Research Field:Decision Making
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Psychology and Cognitive Sciences
UTAS Author:Heathcote, A (Professor Andrew Heathcote)
ID Code:134791
Year Published:2019
Deposited By:Psychology
Deposited On:2019-09-05
Last Modified:2019-10-21
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