Literature DB >> 22889161

Identifying bottom-up and top-down components of attentional weight by experimental analysis and computational modeling.

Maria Nordfang1, Mads Dyrholm, Claus Bundesen.   

Abstract

The attentional weight of a visual object depends on the contrast of the features of the object to its local surroundings (feature contrast) and the relevance of the features to one's goals (feature relevance). We investigated the dependency in partial report experiments with briefly presented stimuli but unspeeded responses. The task was to report the letters from a mixture of letters (targets) and digits (distractors). Color was irrelevant to the task, but many stimulus displays contained an item (target or distractor) in a deviant color (a color singleton). The results showed concurrent effects of feature contrast (color singleton vs. nonsingleton) and relevance (target vs. distractor). A singleton target had a higher probability of being reported than did a nonsingleton target, and a singleton distractor interfered more strongly with report of targets than did a nonsingleton distractor. Measured by use of Bundesen's (1990) computational theory of visual attention, the attentional weight of a singleton object was nearly proportional to the weight of an otherwise similar nonsingleton object, with a factor of proportionality that increased with the strength of the feature contrast of the singleton. This result is explained by generalizing the weight equation of Bundesen's (1990) theory of visual attention such that the attentional weight of an object becomes a product of a bottom-up (feature contrast) and a top-down (feature relevance) component. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22889161     DOI: 10.1037/a0029631

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  11 in total

1.  Temporal expectancy in the context of a theory of visual attention.

Authors:  Signe Vangkilde; Anders Petersen; Claus Bundesen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-09-09       Impact factor: 6.237

2.  Attentional weights in vision as products of spatial and nonspatial components.

Authors:  Maria Nordfang; Camilla Staugaard; Claus Bundesen
Journal:  Psychon Bull Rev       Date:  2018-06

3.  Accurate expectancies diminish perceptual distraction during visual search.

Authors:  Jocelyn L Sy; Scott A Guerin; Anna Stegman; Barry Giesbrecht
Journal:  Front Hum Neurosci       Date:  2014-05-27       Impact factor: 3.169

4.  Automatic attraction of visual attention by supraletter features of former target strings.

Authors:  Søren Kyllingsbæk; Sven Van Lommel; Thomas A Sørensen; Claus Bundesen
Journal:  Front Psychol       Date:  2014-11-27

5.  Fast and Conspicuous? Quantifying Salience With the Theory of Visual Attention.

Authors:  Alexander Krüger; Jan Tünnermann; Ingrid Scharlau
Journal:  Adv Cogn Psychol       Date:  2016-03-31

6.  Learned predictiveness acquired through experience prevails over the influence of conflicting verbal instructions in rapid selective attention.

Authors:  Pedro L Cobos; Miguel A Vadillo; David Luque; Mike E Le Pelley
Journal:  PLoS One       Date:  2018-09-14       Impact factor: 3.240

7.  Components of Attention in Grapheme-Color Synesthesia: A Modeling Approach.

Authors:  Árni Gunnar Ásgeirsson; Maria Nordfang; Thomas Alrik Sørensen
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

Review 8.  A review of the findings and theories on surface size effects on visual attention.

Authors:  Anne O Peschel; Jacob L Orquin
Journal:  Front Psychol       Date:  2013-12-09

9.  Effects of monitoring for visual events on distinct components of attention.

Authors:  Christian H Poth; Anders Petersen; Claus Bundesen; Werner X Schneider
Journal:  Front Psychol       Date:  2014-08-21

10.  Modeling Visual Exploration in Rhesus Macaques with Bottom-Up Salience and Oculomotor Statistics.

Authors:  Seth D König; Elizabeth A Buffalo
Journal:  Front Integr Neurosci       Date:  2016-06-30
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