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Multidimensional scaling methods for absolute identification data

Citation

Dodds, P and Donkin, C and Brown, SD and Heathcote, A, Multidimensional scaling methods for absolute identification data, Proceedings of the 32nd Annual Conference of the Cognitive Science Society, 11-14 August, 2010, Portland, Oregon, pp. 2804-2809. ISBN 978-1-61738-890-3 (2010) [Refereed Conference Paper]

Abstract

Absolute identification exposes a fundamental limit in human information processing. Recent studies have shown that this limit might be extended if participants are given sufficient opportunity to practice. An alternative explanation is that the stimuli used which vary on only one physical dimension may elicit psychological representations that vary on two (or more) dimensions. Participants may learn to take advantage of this characteristic during practice, thus improving performance. We use multi-dimensional scaling to examine this question, and conclude that despite some evidence towards the existence of two dimensions, a one dimensional account cannot be excluded.

Item Details

Item Type:Refereed Conference Paper
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:99067
Year Published:2010
Deposited By:Medicine (Discipline)
Deposited On:2015-03-12
Last Modified:2015-05-11
Downloads:0

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