Literature DB >> 32086660

Does valence influence perceptual bias towards incongruence during binocular rivalry?

Angel Anna Zacharia1, Navdeep Ahuja1, Simran Kaur1, Nalin Mehta1, Ratna Sharma2.   

Abstract

The efficient processing of complex visual environments is essential for effective functioning. In the natural environment, processing the context is as important as the processing of the target object since no object can be found in isolation. Congruent object-context associations in a visual scene facilitate object recognition, whereas incongruent associations decrease performance accuracy. Although there is a performance reduction, incongruent scenes are reported to have a perceptual bias due to the reallocation of the attentional resources towards the associated semantic conflict. Another key attribute that prepares the visual system to identify the important aspects of the environment is valence, and any visual scene can be classified into one of the three valence categories. Hence, the current study was designed to investigate how valence influences the perceptual bias towards incongruent object-context associations. An intermittent binocular rivalry task was used to measure the perceptual bias across valence categories. The results revealed a significant predominance of incongruent pictures when the associated valence was negative and neutral and remained unbiased for positive valence. We propose a valence-congruency interaction in which perceptual bias towards incongruence is greatly influenced by valence.

Keywords:  Binocular rivalry; Incongruency; Valence; Visual perception

Mesh:

Year:  2020        PMID: 32086660     DOI: 10.1007/s10339-020-00957-9

Source DB:  PubMed          Journal:  Cogn Process        ISSN: 1612-4782


  38 in total

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7.  Emotion dysregulation and negative affect: association with psychiatric symptoms.

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Authors:  Alan Anticevic; Grega Repovs; Deanna M Barch
Journal:  Cogn Affect Behav Neurosci       Date:  2010-05       Impact factor: 3.282

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Authors:  Moshe Bar; Elissa Aminoff
Journal:  Neuron       Date:  2003-04-24       Impact factor: 17.173

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Authors:  Senol Dane; Ali Erzurumluoglu
Journal:  Int J Neurosci       Date:  2003-07       Impact factor: 2.292

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