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01-08-2024 | Research

Ordered spatial configuration protects representations of dissimilar items and reduces the similarity effect in visual working memory

Auteurs: Qian Zhang, Xiaowei Yuan, Jiayue Zou, Zhi Zhang, Zhaoxia Zhu

Gepubliceerd in: Psychological Research | Uitgave 7/2024

Abstract

Although similarity could improve visual working memory (VWM) performance, it remains unclear how the spatial configuration of visual information influences the similarity effect in VWM. We explored this question by manipulating the orderliness of spatial configuration (ordered vs. scrambled) in the simultaneous (Experiment 1) and sequential (Experiment 2) change detection tasks. The results showed that similarity improved VWM performance when memory items were presented simultaneously and sequentially. For the simultaneous memory array containing similar and dissimilar items, the performance of the ordered spatial configuration was better than that of the scrambled spatial configuration when probing dissimilar items, while no such difference was found when probing similar items. Further, the similarity effect value in the scrambled spatial configuration was higher than that in the ordered spatial configuration. For the sequential memory array containing similar and dissimilar items, spatial configuration did not affect the similarity effect in VWM. Taken together, these findings suggest that spatial configuration could modulate the similarity effect when memory items are presented simultaneously, in which the ordered spatial configuration protects representations of dissimilar items and reduces the similarity effect in VWM. Our study provides additional evidence for the role of spatial configuration in the similarity effect in VWM, and supports the hierarchical model.

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Baddeley, A. (2003). Working memory and language: An overview. Journal of Communication Disorders, 36(3), 189–208. https://doi.org/10.1016/s0021-9924(03)00019-4CrossRefPubMed

Blalock, L. D., & Clegg, B. A. (2010). Encoding and representation of simultaneous and sequential arrays in visuospatial working memory. Quarterly Journal of Experimental Psychology, 63(5), 856–862. https://doi.org/10.1080/17470211003690680CrossRef

Brady, T. F., & Alvarez, G. A. (2011). Hierarchical encoding in visual working memory: Ensemble statistics bias memory for individual items. Psychological Science, 22(3), 384–392. https://doi.org/10.1177/0956797610397956CrossRefPubMed

Brady, T. F., & Alvarez, G. A. (2015). Contextual effects in visual working memory reveal hierarchically structured memory representations. Journal of Vision, 15(15), 1–24. https://doi.org/10.1167/15.15.6CrossRef

Brady, T. F., & Tenenbaum, J. B. (2013). A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates. Psychological Review, 120(1), 85–109. https://doi.org/10.1037/a0030779CrossRefPubMed

Chun, M. M., & Jiang, Y. (1998). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36(1), 28–71. https://doi.org/10.1006/cogp.1998.0681CrossRefPubMed

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.).). Lawrence Earlbaum Associates. https://doi.org/10.4324/9780203771587

Corbett, J. E. (2016). The whole warps the sum of its parts: Gestalt-defined-group mean size biases memory for individual objects. Psychological Science, 28(1), 12–22. https://doi.org/10.1177/0956797616671524CrossRefPubMed

Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G* power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149CrossRefPubMed

Gao, Z., Gao, Q., Tang, N., Shui, R., & Shen, M. (2016). Organization principles in visual working memory: Evidence from sequential stimulus display. Cognition, 146, 277–288. https://doi.org/10.1016/j.cognition.2015.10.005CrossRefPubMed

Howe, E. S. (1980). Effects of partial symmetry, exposure time, and backward masking on judged goodness and reproduction of visual patterns. Quarterly Journal of Experimental Psychology, 32(1), 27–55. https://doi.org/10.1080/00335558008248232CrossRefPubMed

Jiang, Y. (2004). Time window from visual images to visual short-term memory: Consolidation or integration? Experimental Psychology, 51(1), 45–51. https://doi.org/10.1027/1618-3169.51.1.45CrossRefPubMed

Jiang, Y., Olson, I. R., & Chun, M. M. (2000). Organization of visual short-term memory. Journal of Experimental Psychology: Learning Memory and Cognition, 26(3), 683–702. https://doi.org/10.1037//0278-7393.26.3.683

Johnson, J. S., Spencer, J. P., Luck, S. J., & Schöner, G. (2009). A dynamic neural field model of visual working memory and change detection. Psychological Science, 20(5), 568–577. https://doi.org/10.1111/j.1467-9280.2009.02329.xCrossRefPubMed

Li, J., Qian, J., & Liang, F. (2018). Evidence for the beneficial effect of perceptual grouping on visual working memory: An empirical study on illusory contour and a meta-analytic study. Scientific Reports, 8(1), 13864. https://doi.org/10.1038/s41598-018-32039-4CrossRefPubMedPubMedCentral

Lin, P. H., & Luck, S. J. (2009). The influence of similarity on visual working memory representations. Visual Cognition, 17(3), 356–372. https://doi.org/10.1080/13506280701766313CrossRefPubMedPubMedCentral

Morey, C. C., Cong, Y., Zheng, Y., Price, M., & Morey, R. D. (2015). The color-sharing bonus: Roles of perceptual organization and attentive processes in visual working memory. Archives of Scientific Psychology, 3(1), 18–29. https://doi.org/10.1037/arc0000014CrossRef

Nassar, M. R., Helmers, J. C., & Frank, M. J. (2018). Chunking as a rational strategy for lossy data compression in visual working memory. Psychological Review, 125(4), 486–511. https://doi.org/10.1037/rev0000101CrossRefPubMedPubMedCentral

Nie, Q. Y., Maurer, M., Müller, Hermann, J., & Conci, M. (2016). Inhibition drives configural superiority of illusory gestalt: Combined behavioral and drift–diffusion model evidence. Cognition, 150, 150–162. https://doi.org/10.1016/j.cognition.2016.02.007CrossRefPubMed

Orhan, A. E., & Jacobs, R. A. (2013). A probabilistic clustering theory of the organization of visual short-term memory. Psychological Review, 120(2), 297–328. https://doi.org/10.1037/a0031541CrossRefPubMed

Peterson, D. J., & Berryhill, M. E. (2013). The gestalt principle of similarity benefits visual working memory. Psychonomic Bulletin & Review, 20(6), 1282–1289. https://doi.org/10.3758/s13423-013-0460-xCrossRef

Peterson, D. J., Gözenman, F., Arciniega, H., & Berryhill, M. E. (2015). Contralateral delay activity tracks the influence of Gestalt grouping principles on active visual working memory representations. Attention Perception & Psychophysics, 77(7), 2270–2283. https://doi.org/10.3758/s13414-015-0929-yCrossRef

Prieto, A., Peinado, V., & Mayas, J. (2022). Does perceptual grouping improve visuospatial working memory? Optimized processing or encoding bias. Psychological Research Psychologische Forschung, 86(4), 1297–1309. https://doi.org/10.1007/s00426-021-01555-wCrossRefPubMed

Prime, D., Dell’Acqua, R., Arguin, M., Gosselin, F., & Jolicœur, P. (2011). Spatial layout of letters in nonwords affects visual short-term memory load: Evidence from human electrophysiology. Psychophysiology, 48(3), 430–436. https://doi.org/10.1111/j.1469-8986.2010.01072.xCrossRefPubMed

Qian, J., Zhang, K., Lei, Q., Han, Y., & Li, W. (2020). Task-dependent effects of voluntary space-based and involuntary feature-based attention on visual working memory. Psychological Research Psychologische Forschung, 84, 1304–1319. https://doi.org/10.1007/s00426-019-01161-xCrossRefPubMed

Vogel, E. K., Woodman, G. F., & Luck, S. J. (2001). Storage of features, conjunctions, and objects in visual working memory. Journal of Experimental Psychology: Human Perception Performance, 27(1), 92–114. https://doi.org/10.1037/0096-1523.27.1.92CrossRefPubMed

Xie, W., & Zhang, W. (2017). Discrete item-based and continuous configural representations in visual short-term memory. Visual Cognition, 25(1–3), 21–33. https://doi.org/10.1080/13506285.2017.1339157CrossRef

Zhang, J., & Du, F. (2022). From separate items to an integrated unit in visual working memory: Similarity chunking vs. configural grouping. Cognition, 225, 1–12. https://doi.org/10.1016/j.cognition.2022.105143CrossRef

Zhang, Q., Li, S., Wang, X., & Che, X. (2016). The effects of direction similarity in visual working memory: Behavioural and event-related potential studies. The Quarterly Journal of Experimental Psychology, 69(9), 1812–1830. https://doi.org/10.1080/17470218.2015.1100206CrossRefPubMed

Titel: Ordered spatial configuration protects representations of dissimilar items and reduces the similarity effect in visual working memory
Auteurs: Qian Zhang
Xiaowei Yuan
Jiayue Zou
Zhi Zhang
Zhaoxia Zhu
Publicatiedatum: 01-08-2024
Uitgeverij: Springer Berlin Heidelberg
Gepubliceerd in: Psychological Research / Uitgave 7/2024
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI: https://doi.org/10.1007/s00426-024-02017-9

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