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Converging measures of workload capacity

Citation

Eidels, A and Donkin, C and Brown, SD and Heathcote, A, Converging measures of workload capacity, Psychonomic Bulletin and Review, 17, (6) pp. 763-771. ISSN 1069-9384 (2010) [Refereed Article]

Copyright Statement

Copyright 2010 The Psychonomic Society

DOI: doi:10.3758/PBR.17.6.763

Abstract

Does processing more than one stimulus concurrently impede or facilitate performance relative to processing just one stimulus? This fundamental question about workload capacity was surprisingly difficult to address empirically until Townsend and Nozawa (1995) developed a set of nonparametric analyses called systems factorial technology. We develop an alternative parametric approach based on the linear ballistic accumulator decision model (Brown & Heathcote, 2008), which uses the modelís parameter estimates to measure processing capacity. We show that these two methods have complementary strengths, and that, in a data set where participants varied greatly in capacity, the two approaches provide converging evidence.

Item Details

Item Type:Refereed Article
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
Author:Heathcote, A (Professor Andrew Heathcote)
ID Code:98895
Year Published:2010
Web of Science® Times Cited:32
Deposited By:Medicine (Discipline)
Deposited On:2015-03-06
Last Modified:2015-05-11
Downloads:0

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