Journal article
Understanding the influence of distractors on workload capacity
DR Little, A Eidels, M Fific, T Wang
Journal of Mathematical Psychology | Published : 2015
Abstract
In this paper, we analyze the workload capacity of information processing of multidimensional perceptual stimuli. Capacity, which describes how the processing rate of the system changes as the number of stimulus dimensions or attributes is increased, is an important property of information processing systems. Inferences based on one measure of capacity, the capacity coefficient (Townsend and Nozawa, 1995), are typically computed by comparing the processing of single targets, which provide a measure of the baseline processing time of the system, to the processing of a double target. The single targets are typically assumed to be presented alone without any irrelevant distracting information. ..
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Awarded by Australian Research Council
Funding Acknowledgements
This work was supported by ARC Discovery Project Grant DP120103120 to Daniel R. Little and ARC Discovery Project Grant DP120102907 to Ami Eidels. We thank Gordon Logan, Rob Nosofsky, Rich Shiffrin, and Philip Smith for helpful discussions about this work.