Literature DB >> 23141025

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

Trafton Drew1, Todd S Horowitz, Edward K Vogel.   

Abstract

In the multiple object tracking task, participants are asked to keep targets separate from identical distractors as all items move randomly. It is well known that simple manipulations such as object speed and number of distractors dramatically alter the number of targets that are successfully tracked, but very little is known about what causes this variation in performance. One possibility is that participants tend to lose track of objects (dropping) more frequently under these conditions. Another is that the tendency to confuse a target with a distractor increases (swapping). These two mechanisms have very different implications for the attentional architecture underlying tracking. However, behavioral data alone cannot differentiate between these possibilities. In the current study, we used an electrophysiological marker of the number of items being actively tracked to assess which type of errors tended to occur during speed and distractor load manipulations. Our neural measures suggest that increased distractor load led to an increased likelihood of confusing targets with distractors while increased speed led to an increased chance of a target item being dropped. Behavioral experiments designed to test this novel prediction support this assertion.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23141025      PMCID: PMC3529852          DOI: 10.1016/j.cognition.2012.10.003

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  36 in total

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2.  Tracking multiple objects is limited only by object spacing, not by speed, time, or capacity.

Authors:  S L Franconeri; S V Jonathan; J M Scimeca
Journal:  Psychol Sci       Date:  2010-06-09

3.  The mathematics of multiple object tracking: from proportions correct to number of objects tracked.

Authors:  Johan Hulleman
Journal:  Vision Res       Date:  2005-03-31       Impact factor: 1.886

4.  How do we track invisible objects?

Authors:  Todd S Horowitz; Randall S Birnkrant; David E Fencsik; Linda Tran; Jeremy M Wolfe
Journal:  Psychon Bull Rev       Date:  2006-06

5.  Tracking unique objects.

Authors:  Todd S Horowitz; Sarah B Klieger; David E Fencsik; Kevin K Yang; George A Alvarez; Jeremy M Wolfe
Journal:  Percept Psychophys       Date:  2007-02

6.  Discrete fixed-resolution representations in visual working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Nature       Date:  2008-04-02       Impact factor: 49.962

7.  Neural measures reveal individual differences in controlling access to working memory.

Authors:  Edward K Vogel; Andrew W McCollough; Maro G Machizawa
Journal:  Nature       Date:  2005-11-24       Impact factor: 49.962

8.  The role of location indexes in spatial perception: a sketch of the FINST spatial-index model.

Authors:  Z Pylyshyn
Journal:  Cognition       Date:  1989-06

9.  Eye movements during multiple object tracking: where do participants look?

Authors:  Hilda M Fehd; Adriane E Seiffert
Journal:  Cognition       Date:  2007-12-21

10.  Demand-based dynamic distribution of attention and monitoring of velocities during multiple-object tracking.

Authors:  Lucica Iordanescu; Marcia Grabowecky; Satoru Suzuki
Journal:  J Vis       Date:  2009-04-03       Impact factor: 2.240

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  20 in total

1.  Multiple identity tracking strategies vary by age: An ERP study.

Authors:  Didem Pehlivanoglu; Audrey Duarte; Paul Verhaeghen
Journal:  Neuropsychologia       Date:  2020-01-23       Impact factor: 3.139

2.  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

3.  Maintaining rejected distractors in working memory during visual search depends on search stimuli: Evidence from contralateral delay activity.

Authors:  Lauren H Williams; Trafton Drew
Journal:  Atten Percept Psychophys       Date:  2021-01       Impact factor: 2.199

4.  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

5.  Multiple Players Tracking in Virtual Reality: Influence of Soccer Specific Trajectories and Relationship With Gaze Activity.

Authors:  Alexandre Vu; Anthony Sorel; Annabelle Limballe; Benoit Bideau; Richard Kulpa
Journal:  Front Psychol       Date:  2022-05-20

6.  Understanding age-related reductions in visual working memory capacity: examining the stages of change detection.

Authors:  Philip C Ko; Bryant Duda; Erin Hussey; Emily Mason; Robert J Molitor; Geoffrey F Woodman; Brandon A Ally
Journal:  Atten Percept Psychophys       Date:  2014-10       Impact factor: 2.199

Review 7.  The contralateral delay activity as a neural measure of visual working memory.

Authors:  Roy Luria; Halely Balaban; Edward Awh; Edward K Vogel
Journal:  Neurosci Biobehav Rev       Date:  2016-01-21       Impact factor: 8.989

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

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

9.  The Dynamics and Neural Correlates of Audio-Visual Integration Capacity as Determined by Temporal Unpredictability, Proactive Interference, and SOA.

Authors:  Jonathan M P Wilbiks; Benjamin J Dyson
Journal:  PLoS One       Date:  2016-12-15       Impact factor: 3.240

10.  The Categorical Distinction Between Targets and Distractors Facilitates Tracking in Multiple Identity Tracking Task.

Authors:  Liuqing Wei; Xuemin Zhang; Chuang Lyu; Zhen Li
Journal:  Front Psychol       Date:  2016-04-28
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