Literature DB >> 28202816

Human visual search behaviour is far from ideal.

Anna Nowakowska1, Alasdair D F Clarke2,3, Amelia R Hunt2.   

Abstract

Evolutionary pressures have made foraging behaviours highly efficient in many species. Eye movements during search present a useful instance of foraging behaviour in humans. We tested the efficiency of eye movements during search using homogeneous and heterogeneous arrays of line segments. The search target is visible in the periphery on the homogeneous array, but requires central vision to be detected on the heterogeneous array. For a compound search array that is heterogeneous on one side and homogeneous on the other, eye movements should be directed only to the heterogeneous side. Instead, participants made many fixations on the homogeneous side. By comparing search of compound arrays to an estimate of search performance based on uniform arrays, we isolate two contributions to search inefficiency. First, participants make superfluous fixations, sacrificing speed for a perceived (but not actual) gain in response certainty. Second, participants fixate the homogeneous side even more frequently than predicted by inefficient search of uniform arrays, suggesting they also fail to direct fixations to locations that yield the most new information.
© 2017 The Author(s).

Entities:  

Keywords:  eye movements; optimal behaviour; visual search

Mesh:

Year:  2017        PMID: 28202816      PMCID: PMC5326538          DOI: 10.1098/rspb.2016.2767

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  18 in total

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Authors:  R Engbert; R Kliegl
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2.  Looking versus seeing: Strategies alter eye movements during visual search.

Authors:  Marcus R Watson; Allison A Brennan; Alan Kingstone; James T Enns
Journal:  Psychon Bull Rev       Date:  2010-08

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Authors:  Jiri Najemnik; Wilson S Geisler
Journal:  Nature       Date:  2005-03-17       Impact factor: 49.962

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Authors:  E L Charnov
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6.  Optimal reward harvesting in complex perceptual environments.

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7.  The Psychophysics Toolbox.

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8.  Eye guidance in reading: fixation locations within words.

Authors:  K Rayner
Journal:  Perception       Date:  1979       Impact factor: 1.490

9.  A bayesian optimal foraging model of human visual search.

Authors:  Matthew S Cain; Edward Vul; Kait Clark; Stephen R Mitroff
Journal:  Psychol Sci       Date:  2012-08-06

10.  Human visual search does not maximize the post-saccadic probability of identifying targets.

Authors:  Camille Morvan; Laurence T Maloney
Journal:  PLoS Comput Biol       Date:  2012-02-02       Impact factor: 4.475

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  8 in total

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Review 2.  Seeing Beyond Salience and Guidance: The Role of Bias and Decision in Visual Search.

Authors:  Alasdair D F Clarke; Anna Nowakowska; Amelia R Hunt
Journal:  Vision (Basel)       Date:  2019-09-11

3.  Inefficient Eye Movements: Gamification Improves Task Execution, But Not Fixation Strategy.

Authors:  Warren R G James; Josephine Reuther; Ellen Angus; Alasdair D F Clarke; Amelia R Hunt
Journal:  Vision (Basel)       Date:  2019-09-18

4.  Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment.

Authors:  Yunhui Zhou; Yuguo Yu
Journal:  Commun Biol       Date:  2021-01-04

5.  Searching in CCTV: effects of organisation in the multiplex.

Authors:  Benjamin W Tatler
Journal:  Cogn Res Princ Implic       Date:  2021-02-18

6.  Perceptual Load and Sex-Specific Personality Traits.

Authors:  Christiane Lange-Küttner; Andrei-Alexandru Puiu
Journal:  Exp Psychol       Date:  2021-05

7.  Visual search habits and the spatial structure of scenes.

Authors:  Alasdair D F Clarke; Anna Nowakowska; Amelia R Hunt
Journal:  Atten Percept Psychophys       Date:  2022-07-11       Impact factor: 2.157

8.  Stable individual differences in strategies within, but not between, visual search tasks.

Authors:  Alasdair Df Clarke; Jessica L Irons; Warren James; Andrew B Leber; Amelia R Hunt
Journal:  Q J Exp Psychol (Hove)       Date:  2020-07-09       Impact factor: 2.143

  8 in total

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