Literature DB >> 18792507

Evidence against a speed limit in multiple-object tracking.

S L Franconeri1, J Y Lin, Z W Pylyshyn, B Fisher, J T Enns.   

Abstract

Everyday tasks often require us to keep track of multiple objects in dynamic scenes. Past studies show that tracking becomes more difficult as objects move faster. In the present study, we show that this trade-off may not be due to increased speed itself but may, instead, be due to the increased crowding that usually accompanies increases in speed. Here, we isolate changes in speed from variations in crowding, by projecting a tracking display either onto a small area at the center of a hemispheric projection dome or onto the entire dome. Use of the larger display increased retinal image size and object speed by a factor of 4 but did not increase interobject crowding. Results showed that tracking accuracy was equally good in the large-display condition, even when the objects traveled far into the visual periphery. Accuracy was also not reduced when we tested object speeds that limited performance in the small-display condition. These results, along with a reinterpretation of past studies, suggest that we might be able to track multiple moving objects as fast as we can a single moving object, once the effect of object crowding is eliminated.

Mesh:

Year:  2008        PMID: 18792507     DOI: 10.3758/pbr.15.4.802

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  14 in total

1.  Crowding is unlike ordinary masking: distinguishing feature integration from detection.

Authors:  Denis G Pelli; Melanie Palomares; Najib J Majaj
Journal:  J Vis       Date:  2004-12-30       Impact factor: 2.240

2.  Multiple-object tracking is based on scene, not retinal, coordinates.

Authors:  Geniva Liu; Erin L Austen; Kellogg S Booth; Brian D Fisher; Ritchie Argue; Mark I Rempel; James T Enns
Journal:  J Exp Psychol Hum Percept Perform       Date:  2005-04       Impact factor: 3.332

Review 3.  Tracking multiple targets with multifocal attention.

Authors:  Patrick Cavanagh; George A Alvarez
Journal:  Trends Cogn Sci       Date:  2005-07       Impact factor: 20.229

4.  Independent resources for attentional tracking in the left and right visual hemifields.

Authors:  George A Alvarez; Patrick Cavanagh
Journal:  Psychol Sci       Date:  2005-08

5.  Direct neurophysiological evidence for spatial suppression surrounding the focus of attention in vision.

Authors:  J-M Hopf; C N Boehler; S J Luck; J K Tsotsos; H-J Heinze; M A Schoenfeld
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-12       Impact factor: 11.205

6.  Quadrantic deficit reveals anatomical constraints on selection.

Authors:  Thomas A Carlson; George A Alvarez; Patrick Cavanagh
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-02       Impact factor: 11.205

7.  How many objects can you track? Evidence for a resource-limited attentive tracking mechanism.

Authors:  George A Alvarez; Steven L Franconeri
Journal:  J Vis       Date:  2007-10-30       Impact factor: 2.240

8.  Spatial separation between targets constrains maintenance of attention on multiple objects.

Authors:  Won Mok Shim; George A Alvarez; Yuhong V Jiang
Journal:  Psychon Bull Rev       Date:  2008-04

9.  How many locations can be selected at once?

Authors:  Steven L Franconeri; George A Alvarez; James T Enns
Journal:  J Exp Psychol Hum Percept Perform       Date:  2007-10       Impact factor: 3.332

10.  Tracking multiple independent targets: evidence for a parallel tracking mechanism.

Authors:  Z W Pylyshyn; R W Storm
Journal:  Spat Vis       Date:  1988
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  21 in total

1.  EEG correlates of attentional load during multiple object tracking.

Authors:  Heather Sternshein; Yigal Agam; Robert Sekuler
Journal:  PLoS One       Date:  2011-07-26       Impact factor: 3.240

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.  Tracking planets and moons: mechanisms of object tracking revealed with a new paradigm.

Authors:  Michael Tombu; Adriane E Seiffert
Journal:  Atten Percept Psychophys       Date:  2011-04       Impact factor: 2.199

4.  Behavioral dynamics and neural grounding of a dynamic field theory of multi-object tracking.

Authors:  J P Spencer; K Barich; J Goldberg; S Perone
Journal:  J Integr Neurosci       Date:  2012-09-19       Impact factor: 2.117

5.  The more often you see an object, the easier it becomes to track it.

Authors:  Yaïr Pinto; Piers D L Howe; Michael A Cohen; Todd S Horowitz
Journal:  J Vis       Date:  2010-08-10       Impact factor: 2.240

6.  Looking at the center of the targets helps multiple object tracking.

Authors:  Hilda M Fehd; Adriane E Seiffert
Journal:  J Vis       Date:  2010-04-28       Impact factor: 2.240

7.  Multiple-object Tracking as a Tool for Parametrically Modulating Memory Reactivation.

Authors:  Jordan Poppenk; Kenneth A Norman
Journal:  J Cogn Neurosci       Date:  2017-04-07       Impact factor: 3.225

8.  The role of visual attention in multiple object tracking: evidence from ERPs.

Authors:  Matthew M Doran; James E Hoffman
Journal:  Atten Percept Psychophys       Date:  2010-01       Impact factor: 2.199

Review 9.  Flexible cognitive resources: competitive content maps for attention and memory.

Authors:  Steven L Franconeri; George A Alvarez; Patrick Cavanagh
Journal:  Trends Cogn Sci       Date:  2013-02-18       Impact factor: 20.229

10.  Multiple object tracking in autism spectrum disorders.

Authors:  Kami Koldewyn; Sarah Weigelt; Nancy Kanwisher; Yuhong Jiang
Journal:  J Autism Dev Disord       Date:  2013-06
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