Joint contributions of preview and task instructions on visual search strategy selection Article Swipe
Tianyu Zhang
,
Jessica Irons
,
Heather A. Hansen
,
Andrew B. Leber
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3758/s13414-024-02870-1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3758/s13414-024-02870-1
People tend to employ suboptimal attention control strategies during visual search. Here we question why people are suboptimal, specifically investigating how knowledge of the optimal strategies and the time available to apply such strategies affect strategy use. We used the Adaptive Choice Visual Search (ACVS), a task designed to assess attentional control optimality. We used explicit strategy instructions to manipulate explicit strategy knowledge, and we used display previews to manipulate time to apply the strategies. In the first two experiments, the strategy instructions increased optimality. However, the preview manipulation did not significantly boost optimality for participants who did not receive strategy instruction. Finally, in Experiments 3A and 3B, we jointly manipulated preview and instruction with a larger sample size. Preview and instruction both produced significant main effects; furthermore, they interacted significantly, such that the beneficial effect of instructions emerged with greater preview time. Taken together, these results have important implications for understanding the strategic use of attentional control. Individuals with explicit knowledge of the optimal strategy are more likely to exploit relevant information in their visual environment, but only to the extent that they have the time to do so.
Related Topics
Concepts
Task (project management)
Control (management)
Visual search
Selection (genetic algorithm)
Computer science
Exploit
Cognitive psychology
Affect (linguistics)
Adaptive strategies
Joint (building)
Sample (material)
Psychology
Artificial intelligence
Communication
Economics
Chromatography
Management
History
Engineering
Computer security
Architectural engineering
Chemistry
Archaeology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3758/s13414-024-02870-1
- https://link.springer.com/content/pdf/10.3758/s13414-024-02870-1.pdf
- OA Status
- hybrid
- Cited By
- 4
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395071157
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4395071157Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3758/s13414-024-02870-1Digital Object Identifier
- Title
-
Joint contributions of preview and task instructions on visual search strategy selectionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-24Full publication date if available
- Authors
-
Tianyu Zhang, Jessica Irons, Heather A. Hansen, Andrew B. LeberList of authors in order
- Landing page
-
https://doi.org/10.3758/s13414-024-02870-1Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.3758/s13414-024-02870-1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.3758/s13414-024-02870-1.pdfDirect OA link when available
- Concepts
-
Task (project management), Control (management), Visual search, Selection (genetic algorithm), Computer science, Exploit, Cognitive psychology, Affect (linguistics), Adaptive strategies, Joint (building), Sample (material), Psychology, Artificial intelligence, Communication, Economics, Chromatography, Management, History, Engineering, Computer security, Architectural engineering, Chemistry, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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