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A dual-stage two-phase model of selective attention.
Author(s) -
Ronald Hübner,
Marco Steinhauser,
Carola Lehle
Publication year - 2010
Publication title -
psychological review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.688
H-Index - 211
eISSN - 1939-1471
pISSN - 0033-295X
DOI - 10.1037/a0019471
Subject(s) - stimulus (psychology) , categorical variable , selective attention , perception , information processing , computer science , psychology , cognitive psychology , cognition , artificial intelligence , machine learning , neuroscience
The dual-stage two-phase (DSTP) model is introduced as a formal and general model of selective attention that includes both an early and a late stage of stimulus selection. Whereas at the early stage information is selected by perceptual filters whose selectivity is relatively limited, at the late stage stimuli are selected more efficiently on a categorical basis. Consequently, selectivity is first low but then abruptly increases during the course of stimulus processing. Although intended as a general model of selective attention, in the present study the DSTP model was applied to account for the distributional data of 3 flanker task experiments. The fit of the model to the data was not only rather good but also superior to those of alternative single-stage models with a continuously increasing selectivity. All together, the model provides a comprehensive account of how early and late stages of attention interact in the control of performance.

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