Title |
Perceptual load as a major determinant of the locus of selection in visual attention
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Published in |
Attention, Perception, & Psychophysics, March 1994
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DOI | 10.3758/bf03213897 |
Pubmed ID | |
Authors |
Nilli Lavie, Yehoshua Tsal |
Abstract |
In this paper, we propose that the debate concerning the locus of attentional selection can be resolved by specifying the conditions under which early selection is possible. In the first part, we present a theoretical discussion that integrates aspects from structural and capacity approaches to attention and suggest that perceptual load is a major factor in determining the locus of selection. In the second part, we present a literature review that examines the conditions influencing the processing of irrelevant information. This review supports the conclusion that a clear physical distinction between relevant and irrelevant information is not sufficient to prevent irrelevant processing; early selection also requires that the perceptual load of the task be sufficiently high to exceed the upper limit of available attentional resources. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 2% |
United Kingdom | 7 | 1% |
Germany | 4 | <1% |
Switzerland | 3 | <1% |
Belgium | 3 | <1% |
Australia | 2 | <1% |
Italy | 1 | <1% |
Uruguay | 1 | <1% |
Portugal | 1 | <1% |
Other | 7 | 1% |
Unknown | 479 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 109 | 21% |
Student > Bachelor | 95 | 18% |
Researcher | 65 | 13% |
Student > Master | 62 | 12% |
Professor > Associate Professor | 21 | 4% |
Other | 72 | 14% |
Unknown | 92 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 275 | 53% |
Neuroscience | 37 | 7% |
Agricultural and Biological Sciences | 19 | 4% |
Medicine and Dentistry | 13 | 3% |
Computer Science | 12 | 2% |
Other | 52 | 10% |
Unknown | 108 | 21% |