Literature DB >> 2969947

A model of automatic attention attraction when mapping is partially consistent.

R M Shiffrin1, M P Czerwinski.   

Abstract

A model is described to account for the data of Durso, Cooke, Breen, and Schvaneveldt (1987). On the basis of the relative frequency of an item's presentation as a target, the item develops an automatic tendency to attract attention. When stimuli are then displayed, each calls the attention system to a degree determined by its present strength. We assume that attention eventually drifts to the strongest stimulus (which is then given as a response), but in a time determined inversely by the difference in strength between the two strongest stimuli. A version of this model in which the strengths were freely estimated parameters predicted the various elements of the data with good accuracy. In other versions of the model, strength values were derived from assumptions concerning the learning of automatism. Two of these models, quite different in character, captured the major qualitative features of the data. Further empirical tests of the models are suggested.

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Year:  1988        PMID: 2969947     DOI: 10.1037//0278-7393.14.3.562

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  3 in total

1.  Generating a taxonomy of spatially cued attention for visual discrimination: effects of judgment precision and set size on attention.

Authors:  Richard Hetley; Barbara Anne Dosher; Zhong-Lin Lu
Journal:  Atten Percept Psychophys       Date:  2014-11       Impact factor: 2.199

2.  The effect of virtual reality on pain and range of motion in adults with burn injuries.

Authors:  Gretchen J Carrougher; Hunter G Hoffman; Dana Nakamura; Dennis Lezotte; Maryam Soltani; Laura Leahy; Loren H Engrav; David R Patterson
Journal:  J Burn Care Res       Date:  2009 Sep-Oct       Impact factor: 1.845

3.  Visual attention in spatial cueing and visual search.

Authors:  Jongsoo Baek; Barbara Anne Dosher; Zhong-Lin Lu
Journal:  J Vis       Date:  2021-03-01       Impact factor: 2.240

  3 in total

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