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Prioritization in visual attention does not work the way you think it does.
Author(s) -
Gavin Ng,
Simona Buetti,
Trisha N. Patel,
Alejandro Lleras
Publication year - 2020
Publication title -
journal of experimental psychology human perception and performance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.691
H-Index - 148
eISSN - 1939-1277
pISSN - 0096-1523
DOI - 10.1037/xhp0000887
Subject(s) - similarity (geometry) , prioritization , homogeneous , visual search , computer science , visual attention , psycinfo , psychology , information retrieval , artificial intelligence , mathematics , medline , image (mathematics) , cognition , biology , economics , management science , combinatorics , neuroscience , biochemistry
A common assumption in attention theories is that attention prioritizes search items based on their similarity to the target. Here, we tested this assumption and found it wanting. Observers searched through displays containing candidates (distractors that cannot be confidently differentiated from the target by peripheral vision) and lures (distractors that can be). Candidates had high or low similarity to the target. Search displays were either candidate-homogeneous (all items of same similarity) or candidate-heterogeneous (equal numbers of each similarity). Response times to candidate-heterogeneous displays were equivalent to the average of high- and low-similarity displays, suggesting that attention was allocated randomly, rather than toward the high-similarity candidates first. Lures added a response time cost that was independent of the candidates, suggesting they were rejected prior to candidates being inspected. These results suggest a "reverse" prioritization process: Distributed attention discards least target-similar items first, while focused spatial attention is randomly directed to target-similar items. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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