October 2020
Volume 20, Issue 11
Open Access
Vision Sciences Society Annual Meeting Abstract  |   October 2020
Exploring the generalizability of visual search strategy
Author Affiliations & Notes
  • Walden Li
    The Ohio State University
  • Molly R. McKinney
    The Ohio State University
  • Jessica L. Irons
    The Ohio State University
  • Andrew B. Leber
    The Ohio State University
  • Footnotes
    Acknowledgements  NSF BCS-1632296 (AL)
Journal of Vision October 2020, Vol.20, 1471. doi:https://doi.org/10.1167/jov.20.11.1471
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      Walden Li, Molly R. McKinney, Jessica L. Irons, Andrew B. Leber; Exploring the generalizability of visual search strategy. Journal of Vision 2020;20(11):1471. doi: https://doi.org/10.1167/jov.20.11.1471.

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      © ARVO (1962-2015); The Authors (2016-present)

  • Supplements

When searching our visual environment, we often have multiple strategies available (e.g., when looking for apples on a supermarket shelf, you can look for red things, round things, or you can just serially search through all items). How do we choose a strategy? Recent research on this question has revealed substantial variation across individuals in attentional control strategies. Moreover, while attentional strategies have been found to be reliable within subjects, they have failed to generalize across different paradigms that assess various components of strategy use (Clarke et al., 2018). Thus, evidence for whether strategies generalize beyond a single paradigm remains scarce. While previous tests of generalizability used paradigms that vary in many ways, here, we focused on a single strategy component that could be preserved across tasks, while making several other changes. In two experiments, we assessed the correlation between individuals’ strategies in the standard adaptive choice visual search (ACVS; Irons & Leber, 2018) and a modified novel visual search task, Spatial ACVS. In the Standard ACVS, participants seeking to perform optimally have to enumerate subsets of different colored squares and identify the smaller subset to choose a target from. Similarly, in the Spatial ACVS, participants seeking optimal performance have to enumerate spatially separate subsets of squares (one on the left and one on the right side of the display), choosing the target in the smaller subset. Participants finished both tasks in the same order in one experimental session. Results showed a positive correlation in optimal target choices between the two tasks, indicating similar strategy usage. Future studies can focus on what strategy components tend more to be generalized across tasks and whether an individual’s strategy can generalize to tasks with a combination of several strategy components.


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