IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0048214.html
   My bibliography  Save this article

Forgetting What Was Where: The Fragility of Object-Location Binding

Author

Listed:
  • Yoni Pertzov
  • Mia Yuan Dong
  • Muy-Cheng Peich
  • Masud Husain

Abstract

Although we frequently take advantage of memory for objects locations in everyday life, understanding how an object’s identity is bound correctly to its location remains unclear. Here we examine how information about object identity, location and crucially object-location associations are differentially susceptible to forgetting, over variable retention intervals and memory load. In our task, participants relocated objects to their remembered locations using a touchscreen. When participants mislocalized objects, their reports were clustered around the locations of other objects in the array, rather than occurring randomly. These ‘swap’ errors could not be attributed to simple failure to remember either the identity or location of the objects, but rather appeared to arise from failure to bind object identity and location in memory. Moreover, such binding failures significantly contributed to decline in localization performance over retention time. We conclude that when objects are forgotten they do not disappear completely from memory, but rather it is the links between identity and location that are prone to be broken over time.

Suggested Citation

  • Yoni Pertzov & Mia Yuan Dong & Muy-Cheng Peich & Masud Husain, 2012. "Forgetting What Was Where: The Fragility of Object-Location Binding," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-12, October.
  • Handle: RePEc:plo:pone00:0048214
    DOI: 10.1371/journal.pone.0048214
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0048214
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0048214&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0048214?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Steven J. Luck & Edward K. Vogel, 1997. "The capacity of visual working memory for features and conjunctions," Nature, Nature, vol. 390(6657), pages 279-281, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuri A. Markov & Natalia A. Tiurina & Igor S. Utochkin, 2018. "Different features are stored independently in visual working memory but mediated by object-based representations," HSE Working papers WP BRP 101/PSY/2018, National Research University Higher School of Economics.
    2. Yuri A. Markov & Igor S. Utochkin, 2017. "The Effect of Object Distinctiveness on Object-Location Binding in Visual Working Memory," HSE Working papers WP BRP 79/PSY/2017, National Research University Higher School of Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aki Kondo & Jun Saiki, 2012. "Feature-Specific Encoding Flexibility in Visual Working Memory," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
    2. Tullo, Domenico & Faubert, Jocelyn & Bertone, Armando, 2018. "The characterization of attention resource capacity and its relationship with fluid reasoning intelligence: A multiple object tracking study," Intelligence, Elsevier, vol. 69(C), pages 158-168.
    3. Jifan Zhou & Jun Yin & Tong Chen & Xiaowei Ding & Zaifeng Gao & Mowei Shen, 2011. "Visual Working Memory Capacity Does Not Modulate the Feature-Based Information Filtering in Visual Working Memory," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-10, September.
    4. Li, Qian & Huang, Zhuowei (Joy) & Christianson, Kiel, 2016. "Visual attention toward tourism photographs with text: An eye-tracking study," Tourism Management, Elsevier, vol. 54(C), pages 243-258.
    5. Yuri A. Markov & Igor S. Utochkin, 2017. "The Effect of Object Distinctiveness on Object-Location Binding in Visual Working Memory," HSE Working papers WP BRP 79/PSY/2017, National Research University Higher School of Economics.
    6. S. Cerreia-Vioglio & F. Maccheroni & M. Marinacci & A. Rustichini, 2017. "Multinomial logit processes and preference discovery: inside and outside the black box," Working Papers 615, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    7. Ociepka, Michał & Kałamała, Patrycja & Chuderski, Adam, 2022. "High individual alpha frequency brains run fast, but it does not make them smart," Intelligence, Elsevier, vol. 92(C).
    8. repec:cup:judgdm:v:7:y:2012:i:3:p:254-267 is not listed on IDEAS
    9. Shaiyan Keshvari & Ronald van den Berg & Wei Ji Ma, 2013. "No Evidence for an Item Limit in Change Detection," PLOS Computational Biology, Public Library of Science, vol. 9(2), pages 1-9, February.
    10. Bin Zhu & Stephanie A. Watts, 2010. "Visualization of Network Concepts: The Impact of Working Memory Capacity Differences," Information Systems Research, INFORMS, vol. 21(2), pages 327-344, June.
    11. Rock, Rufus & Strauss, Ilan & O'Reilly, Tim & Mazzucato, Mariana, 2024. "Behind the clicks: Can Amazon allocate user attention as it pleases?," Information Economics and Policy, Elsevier, vol. 69(C).
    12. D. Alexander Varakin & Jamie Hale, 2014. "Intentional Memory Instructions Direct Attention But Do Not Enhance Visual Memory," SAGE Open, , vol. 4(4), pages 21582440145, October.
    13. Haggar Cohen-Dallal & Isaac Fradkin & Yoni Pertzov, 2018. "Are stronger memories forgotten more slowly? No evidence that memory strength influences the rate of forgetting," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
    14. Loic Matthey & Paul M Bays & Peter Dayan, 2015. "A Probabilistic Palimpsest Model of Visual Short-term Memory," PLOS Computational Biology, Public Library of Science, vol. 11(1), pages 1-34, January.
    15. Krieger, Florian & Zimmer, Hubert D. & Greiff, Samuel & Spinath, Frank M. & Becker, Nicolas, 2019. "Why are difficult figural matrices hard to solve? The role of selective encoding and working memory capacity," Intelligence, Elsevier, vol. 72(C), pages 35-48.
    16. Jochen Ranger & Jörg-Tobias Kuhn, 2013. "Analyzing Response Times in Tests With Rank Correlation Approaches," Journal of Educational and Behavioral Statistics, , vol. 38(1), pages 61-80, February.
    17. Jeanne Hagenbach & Rachel Kranton, 2023. "Competition, Cooperation, and Motivated Social Perceptions," Working Papers hal-03792554, HAL.
    18. Pais, Miguel Pessanha & Cabral, Henrique N., 2017. "Fish behaviour effects on the accuracy and precision of underwater visual census surveys. A virtual ecologist approach using an individual-based model," Ecological Modelling, Elsevier, vol. 346(C), pages 58-69.
    19. Eline R. Kupers & Insub Kim & Kalanit Grill-Spector, 2024. "Rethinking simultaneous suppression in visual cortex via compressive spatiotemporal population receptive fields," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    20. Juan Linde-Domingo & Bernhard Spitzer, 2024. "Geometry of visuospatial working memory information in miniature gaze patterns," Nature Human Behaviour, Nature, vol. 8(2), pages 336-348, February.
    21. Pahor, Anja & Jaušovec, Norbert, 2017. "Multifaceted pattern of neural efficiency in working memory capacity," Intelligence, Elsevier, vol. 65(C), pages 23-34.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0048214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.