Modulation of spatial attention by goals, statistical learning, and monetary reward

Jiang, Yuhong V., Sha, Li Z. and Remington, Roger W. (2015) Modulation of spatial attention by goals, statistical learning, and monetary reward. Attention, Perception, and Psychophysics, 77 7: 2189-2206. doi:10.3758/s13414-015-0952-z

Author Jiang, Yuhong V.
Sha, Li Z.
Remington, Roger W.
Title Modulation of spatial attention by goals, statistical learning, and monetary reward
Journal name Attention, Perception, and Psychophysics   Check publisher's open access policy
ISSN 1943-393X
Publication date 2015
Sub-type Article (original research)
DOI 10.3758/s13414-015-0952-z
Volume 77
Issue 7
Start page 2189
End page 2206
Total pages 18
Place of publication New York NY United States
Publisher Springer New York
Collection year 2016
Language eng
Abstract This study documented the relative strength of task goals, visual statistical learning, and monetary reward in guiding spatial attention. Using a difficult T-among-L search task, we cued spatial attention to one visual quadrant by (i) instructing people to prioritize it (goal-driven attention), (ii) placing the target frequently there (location probability learning), or (iii) associating that quadrant with greater monetary gain (reward-based attention). Results showed that successful goal-driven attention exerted the strongest influence on search RT. Incidental location probability learning yielded a smaller though still robust effect. Incidental reward learning produced negligible guidance for spatial attention. The 95 % confidence intervals of the three effects were largely nonoverlapping. To understand these results, we simulated the role of location repetition priming in probability cuing and reward learning. Repetition priming underestimated the strength of location probability cuing, suggesting that probability cuing involved long-term statistical learning of how to shift attention. Repetition priming provided a reasonable account for the negligible effect of reward on spatial attention. We propose a multiple-systems view of spatial attention that includes task goals, search habit, and priming as primary drivers of top-down attention.
Keyword Spatial attention
Reward-based attention
Goal-driven attention
Probability cuing
Visual search
Visual statistical learning
Repetition priming
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Psychology Publications
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