Literature DB >> 15669909

Severe loss of positional information when detecting deviations in multiple trajectories.

Srimant P Tripathy1, Brendan T Barrett.   

Abstract

Human observers can simultaneously track up to five targets in motion (Z. W. Pylyshyn &amp; R. W. Storm, 1988). We examined the precision for detecting deviations in linear trajectories by measuring deviation thresholds as a function of the number of trajectories (T ). When all trajectories in the stimulus undergo the same deviation, thresholds are uninfluenced by T for T <or= 10. When only one of the trajectories undergoes a deviation, thresholds rise steeply as T is increased [e.g., 3.3 degrees (T = 1), 12.3 degrees (T = 2), 32.9 degrees (T = 4) for one observer]; observers are unable to simultaneously process more than one trajectory in our threshold-measuring paradigm. When the deviating trajectory is cued (e.g., using a different color), varying T has little influence on deviation threshold. The use of a different color for each trajectory does not facilitate deviation detection. Our current data suggest that for deviations that have low discriminability (i.e., close to threshold) the number of trajectories that can be monitored effectively is close to one. In contrast, when the stimuli containing highly discriminable (i.e., substantially suprathreshold) deviations are used, as many as three or four trajectories can be simultaneously monitored (S. P. Tripathy, 2003). Our results highlight a severe loss of positional information when attempting to track multiple objects, particularly in a threshold paradigm.

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Year:  2004        PMID: 15669909     DOI: 10.1167/4.12.4

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  11 in total

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

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Journal:  J Vis       Date:  2010-06-01       Impact factor: 2.240

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

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5.  Misperceptions in the trajectories of objects undergoing curvilinear motion.

Authors:  Ozgur Yilmaz; Srimant P Tripathy; Haluk Ogmen
Journal:  PLoS One       Date:  2012-05-17       Impact factor: 3.240

6.  Bottlenecks of motion processing during a visual glance: the leaky flask model.

Authors:  Haluk Öğmen; Onur Ekiz; Duong Huynh; Harold E Bedell; Srimant P Tripathy
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

7.  Preattentive and Predictive Processing of Visual Motion.

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Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

8.  Motion disrupts dynamic visual search for an orientation change.

Authors:  Emily M Crowe; Christina J Howard; Iain D Gilchrist; Christopher Kent
Journal:  Cogn Res Princ Implic       Date:  2021-06-26

9.  Integration across Time Determines Path Deviation Discrimination for Moving Objects.

Authors:  David Whitaker; Dennis M Levi; Graeme J Kennedy
Journal:  PLoS One       Date:  2008-04-16       Impact factor: 3.240

10.  Sensory Memory Is Allocated Exclusively to the Current Event-Segment.

Authors:  Srimant P Tripathy; Haluk Öǧmen
Journal:  Front Psychol       Date:  2018-09-07
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