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Hemifield Effects in Multiple Identity Tracking

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  • Charlotte Hudson
  • Piers D L Howe
  • Daniel R Little

Abstract

In everyday life, we often need to attentively track moving objects. A previous study has claimed that this tracking occurs independently in the left and right visual hemifields (Alvarez & Cavanagh, 2005, Psychological Science,16, 637–647). Specifically, it was shown that observers were much more accurate at tracking objects that were spread over both visual hemifields as opposed to when all were confined to a single visual hemifield. In that study, observers were not required to remember the identities of the objects. Conversely, in real life, there is seldom any benefit to tracking an object unless you can also recall its identity. It has been predicted that when observers are required to remember the identities of the tracked objects a bilateral advantage should no longer be observed (Oksama & Hyönä, 2008, Cognitive Psychology, 56, 237–283). We tested this prediction and found that a bilateral advantage still occurred, though it was not as strong as when observers were not required to remember the identities of the targets. Even in the later case we found that tracking was not completely independent in the two visual hemifields. We present a combined model of multiple object tracking and multiple identity tracking that can explain our data.

Suggested Citation

  • Charlotte Hudson & Piers D L Howe & Daniel R Little, 2012. "Hemifield Effects in Multiple Identity Tracking," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-8, August.
  • Handle: RePEc:plo:pone00:0043796
    DOI: 10.1371/journal.pone.0043796
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    Cited by:

    1. Shiva Kamkar & Fatemeh Ghezloo & Hamid Abrishami Moghaddam & Ali Borji & Reza Lashgari, 2020. "Multiple-target tracking in human and machine vision," PLOS Computational Biology, Public Library of Science, vol. 16(4), pages 1-28, April.
    2. Yang, Shuai & Wang, Yizhe & Li, Zhen & Chen, Chiyin & Yu, Ziyue, 2022. "Time-of-day effects on (un)healthy product purchases: Insights from diverse consumer behavior data," Journal of Business Research, Elsevier, vol. 152(C), pages 447-460.

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