Literature DB >> 22215380

Close encounters of the distracting kind: identifying the cause of visual tracking errors.

Gi Yeul Bae1, Jonathan I Flombaum.   

Abstract

Why can we track only so many objects? We addressed this question by asking when and how tracking errors emerge. To test the hypothesis that many tracking errors are target/nontarget confusions emerging from close encounters, we compared standard multiple-object tracking trials with trials on which a nontarget turned a random color whenever it approached within 4° of a target. This manipulation significantly improved performance by alleviating the correspondence challenge of a close encounter. Two control experiments showed that color change benefits were not merely due to target recovery. Follow-up experiments demonstrated that color change benefits did not accrue monotonically with distance but, instead, seemed to obey a step function; and an additional experiment demonstrated that, without color changes, the frequency of close encounters predicts tracking performance. Taken together, these experiments suggest that uncertainty about target location imposes the primary constraint on tracking, at times causing errors by leading to confusions between targets and nontargets.

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Mesh:

Year:  2012        PMID: 22215380     DOI: 10.3758/s13414-011-0260-1

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  10 in total

1.  Why do people appear not to extrapolate trajectories during multiple object tracking? A computational investigation.

Authors:  Sheng-Hua Zhong; Zheng Ma; Colin Wilson; Yan Liu; Jonathan I Flombaum
Journal:  J Vis       Date:  2014-10-13       Impact factor: 2.240

2.  Swapping or dropping? Electrophysiological measures of difficulty during multiple object tracking.

Authors:  Trafton Drew; Todd S Horowitz; Edward K Vogel
Journal:  Cognition       Date:  2012-11-07

3.  Exploring the effectiveness of auditory, visual, and audio-visual sensory cues in a multiple object tracking environment.

Authors:  Julia Föcker; Polly Atkins; Foivos-Christos Vantzos; Maximilian Wilhelm; Thomas Schenk; Hauke S Meyerhoff
Journal:  Atten Percept Psychophys       Date:  2022-05-24       Impact factor: 2.157

4.  Dynamic visual attention characteristics and their relationship to match performance in skilled basketball players.

Authors:  Peng Jin; Xiawen Li; Bin Ma; Hongbo Guo; Zhongxi Zhang; Lijuan Mao
Journal:  PeerJ       Date:  2020-08-19       Impact factor: 2.984

5.  Hierarchical structure is employed by humans during visual motion perception.

Authors:  Johannes Bill; Hrag Pailian; Samuel J Gershman; Jan Drugowitsch
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-16       Impact factor: 11.205

6.  A single unexpected change in target- but not distractor motion impairs multiple object tracking.

Authors:  Hauke S Meyerhoff; Frank Papenmeier; Georg Jahn; Markus Huff
Journal:  Iperception       Date:  2013-01-25

7.  Commentary: Swapping or Dropping? Electrophysiological Measures of Difficulty during Multiple Object Tracking.

Authors:  Błażej Skrzypulec
Journal:  Front Psychol       Date:  2016-03-17

8.  The Effect of Fearful Expressions on Multiple Face Tracking.

Authors:  Hongjun Jin; Baihua Xu
Journal:  Psychol Belg       Date:  2015-07-09

9.  Interactive multiple object tracking (iMOT).

Authors:  Ian M Thornton; Heinrich H Bülthoff; Todd S Horowitz; Aksel Rynning; Seong-Whan Lee
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

10.  Additivity of Feature-Based and Symmetry-Based Grouping Effects in Multiple Object Tracking.

Authors:  Chundi Wang; Xuemin Zhang; Yongna Li; Chuang Lyu
Journal:  Front Psychol       Date:  2016-05-04
  10 in total

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