September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
Reducing failures of visual working memory with tailored feedback
Author Affiliations
  • Olga Kozlova
    Rice University
  • Kirsten Adam
    Rice University
Journal of Vision September 2024, Vol.24, 1273. doi:https://doi.org/10.1167/jov.24.10.1273
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      Olga Kozlova, Kirsten Adam; Reducing failures of visual working memory with tailored feedback. Journal of Vision 2024;24(10):1273. https://doi.org/10.1167/jov.24.10.1273.

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

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Abstract

Although individuals can hold up to 3-4 items in visual working memory, they frequently experience severe lapses of performance (e.g., 0-1 items correct). An initial study found that performance feedback can improve working memory performance if the feedback encourages participants to perform consistently and avoid lapses (i.e., get 3+ items correct or lose points; Adam & Vogel, 2016). However, past work used a single performance goal that matched group-averaged capacity (3 items). Here, we hypothesized that performance feedback would be most effective when the performance goal is aligned with individuals’ capacity. In Experiment 1 (N = 28), participants performed a whole-report memory task with performance feedback and either a well-aligned goal (get 3 items correct) or a poorly aligned goal (get 1 or 6 items correct). During each trial, participants first saw a reminder of the performance goal. Then, a memory array composed of six different colored squares was presented, and participants were instructed to remember the items over a blank delay. Finally, participants recalled each item’s color and either gained or lost points depending on if their performance exceeded the performance goal (e.g., at least 3 correct). In Experiment 2 (N = 25), participants completed an identical task, but with a more fine-grained goal range (varying from 1–5). Across both experiments, we found that a performance goal tailored to working memory capacity (3 items) is most effective. Compared to sub-optimal goals, an optimal goal improved performance by 0.5 items. Moreover, in Experiment 2, tailoring the performance goal to an individual’s specific capacity improved performance by 1 item relative to a sub-optimal goal. Performance was particularly poor when the goal was too high, with lapse rates increasing from 3% to 22%. Together, our results suggest that individualized goals can encourage optimal performance by targeting the frequency of lapses.

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