Visual ZIP files: Viewers beat capacity limits by compressing redundant features across objects
| Autor: | Steve Franconeri, Nicole L. Jardine, Hauke S. Meyerhoff, Mary Hegarty, Mike Stieff |
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| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science Working memory Color vision 05 social sciences Short-term memory Beat (acoustics) Experimental and Cognitive Psychology Pattern recognition 050105 experimental psychology Mental rotation Behavioral Neuroscience Memory Short-Term Arts and Humanities (miscellaneous) Visual memory Colored Humans 0501 psychology and cognitive sciences Artificial intelligence business Row Color Perception |
| Zdroj: | Journal of Experimental Psychology: Human Perception and Performance. 47:103-115 |
| ISSN: | 1939-1277 0096-1523 |
| Popis: | Given a set of simple objects, visual working memory capacity drops from 3 to 4 units down to only 1 to 2 units when the display rotates. But real-world STEM experts somehow overcome these limits. Here, we study a potential domain-general mechanism that might help experts exceed these limits: compressing information based on redundant visual features. Participants briefly saw 4 colored shapes, either all distinct or with repetitions of color, shape, or paired Color + Shape (e.g., two green squares among a blue triangle and a yellow diamond), with a concurrent verbal suppression task. Participants reported potential swaps (change/no change) in a rotated view. In Experiments 1a through 1c, repeating features improved performance for color, shape, and paired Color + Shape. Critically, Experiments 2a and 2b found that the benefits of repetitions were most pronounced when the repeated objects shared both feature dimensions (i.e., two green squares). When color and shape repetitions were split across different objects (e.g., green square, green triangle, red triangle), the benefit was reduced to the level of a single redundant feature, suggesting that feature-based grouping underlies the redundancy benefit. Visual compression is an effective encoding strategy that can spatially tag features that repeat. (PsycInfo Database Record (c) 2020 APA, all rights reserved). |
| Databáze: | OpenAIRE |
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