Object-location binding in visual working memory prevents effective updating

Despite the importance of updating visual working memory (VWM) representations in our dynamic visual world, memory performance has been shown to be reliably worse for spatially dynamic objects compared to static objects. This is possibly due to robust binding of object features to their original locations. Here, we conducted two experiments (preregistered) to test the effectiveness of intentionally updating object spatial information in a dynamic spatial context. Each trial began with the presentation of four different colored squares within white placeholders. In Experiment 1, subjects were instructed to maintain and update all four memory items; in Experiment 2, subjects were retroactively cued to maintain and update only two of the memory items, allowing subjects to drop the adjacent non-cued memory items. In half of the trials, during the subsequent memory delay, the placeholders would rotate one position clockwise or counterclockwise. The experiment consisted of two instruction blocks: Update (instructed to mentally update the items’ locations when the placeholders rotated) and Ignore-Rotation (instructed to maintain the memory of the items in their original locations even when the placeholders rotated). At the end of the trial, participants were presented with a spatial probe and reported their memory of the color of the item in that location (original or updated, depending on instruction block) on a continuous color wheel. In Experiment 1, we observed large performance decrements when participants had to both intentionally update and, critically, attempt to ignore task-irrelevant rotations. In Experiment 2, even with a reduced load on VWM resources (only maintaining/updating two items), performance decrements persisted in both instruction contexts when the placeholders rotated. Analysis of systematic feature errors across both experiments revealed greater misreporting of nontargets when the display rotated, compared to static trials, regardless of instruction and even when those features were meant to be dropped from VWM.

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Publication Details

Journal
Journal of Vision
Published
2024-09-15
DOI
https://doi.org/10.1167/jov.24.10.1097
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Object-location binding in visual working memory prevents effective updating

William Narhi‐Martinez, Blaire Dube, Eva Lout, J Golomb
Journal of Vision
Human-Automation Interaction and Safety
article

Object-location binding in visual working memory prevents effective updating

William Narhi‐Martinez, Blaire Dube, Eva Lout, J Golomb
article en

Abstract

Despite the importance of updating visual working memory (VWM) representations in our dynamic visual world, memory performance has been shown to be reliably worse for spatially dynamic objects compared to static objects. This is possibly due to robust binding of object features to their original locations. Here, we conducted two experiments (preregistered) to test the effectiveness of intentionally updating object spatial information in a dynamic spatial context. Each trial began with the presentation of four different colored squares within white placeholders. In Experiment 1, subjects were instructed to maintain and update all four memory items; in Experiment 2, subjects were retroactively cued to maintain and update only two of the memory items, allowing subjects to drop the adjacent non-cued memory items. In half of the trials, during the subsequent memory delay, the placeholders would rotate one position clockwise or counterclockwise. The experiment consisted of two instruction blocks: Update (instructed to mentally update the items’ locations when the placeholders rotated) and Ignore-Rotation (instructed to maintain the memory of the items in their original locations even when the placeholders rotated). At the end of the trial, participants were presented with a spatial probe and reported their memory of the color of the item in that location (original or updated, depending on instruction block) on a continuous color wheel. In Experiment 1, we observed large performance decrements when participants had to both intentionally update and, critically, attempt to ignore task-irrelevant rotations. In Experiment 2, even with a reduced load on VWM resources (only maintaining/updating two items), performance decrements persisted in both instruction contexts when the placeholders rotated. Analysis of systematic feature errors across both experiments revealed greater misreporting of nontargets when the display rotated, compared to static trials, regardless of instruction and even when those features were meant to be dropped from VWM.

Journal of VisionVol. 24(10)
Memorial University of Newfoundland (CA), The Ohio State University (US)
Openalex Percentile: Top 79%
Human-Automation Interaction and Safety
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