Literature DB >> 18359501

Tracking the changing features of multiple objects: progressively poorer perceptual precision and progressively greater perceptual lag.

Christina J Howard1, Alex O Holcombe.   

Abstract

To measure the limits on attentive tracking of continuously changing features, in our task objects constantly changed smoothly and unpredictably in orientation, spatial period or position. Observers reported the last state of one of the objects. We observed a gradual decline in performance as the number of tracked objects increased, implicating a graded processing resource. Additionally, responses were more similar to previous states of the tracked object than its final state, especially in the case of spatial frequency. Indeed for spatial frequency, this perceptual lag reached 250ms when tracking four objects. The pattern of the perceptual lags, the graded effect of set size, and the double-report performance suggest the presence of both serial and parallel processing elements.

Mesh:

Year:  2008        PMID: 18359501     DOI: 10.1016/j.visres.2008.01.023

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  20 in total

1.  Eye-response lags during a continuous monitoring task.

Authors:  Christina J Howard; Tom Troscianko; Iain D Gilchrist
Journal:  Psychon Bull Rev       Date:  2010-10

2.  Attention and non-retinotopic feature integration.

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Journal:  J Vis       Date:  2010-10-01       Impact factor: 2.240

3.  The number of attentional foci and their precision are dissociated in the posterior parietal cortex.

Authors:  Won Mok Shim; G A Alvarez; T J Vickery; Y V Jiang
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4.  Neural Mechanisms of Temporal Resolution of Attention.

Authors:  Christina J Howard; Naheem Bashir; Magdalena Chechlacz; Glyn W Humphreys
Journal:  Cereb Cortex       Date:  2015-06-01       Impact factor: 5.357

5.  The number and quality of representations in working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Psychol Sci       Date:  2011-10-10

6.  High-capacity, transient retention of direction-of-motion information for multiple moving objects.

Authors:  Christopher Shooner; Srimant P Tripathy; Harold E Bedell; Haluk Ogmen
Journal:  J Vis       Date:  2010-06-01       Impact factor: 2.240

7.  Direction information in multiple object tracking is limited by a graded resource.

Authors:  Todd S Horowitz; Michael A Cohen
Journal:  Atten Percept Psychophys       Date:  2010-10       Impact factor: 2.199

8.  Decoding information about dynamically occluded objects in visual cortex.

Authors:  Gennady Erlikhman; Gideon P Caplovitz
Journal:  Neuroimage       Date:  2016-09-20       Impact factor: 6.556

9.  Automatic feature-based grouping during multiple object tracking.

Authors:  Gennady Erlikhman; Brian P Keane; Everett Mettler; Todd S Horowitz; Philip J Kellman
Journal:  J Exp Psychol Hum Percept Perform       Date:  2013-03-04       Impact factor: 3.332

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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