Literature DB >> 31161527

Attentional capture is contingent on scene region: Using surface guidance framework to explore attentional mechanisms during search.

Effie J Pereira1, Monica S Castelhano2.   

Abstract

Studies have established that scene context guides attention during visual search, but it is not yet clear how. In this study, we examined how attention is deployed across scenes using an attentional capture paradigm. Using the Surface Guidance Framework (Castelhano & Pereira, 2019), we defined target-relevant and target-irrelevant scene regions for each target object and compared how attentional capture of a suddenly onsetting distractor differs for object and letter searches. We found an enhancement of capture effects when distractors appeared within target-relevant regions, with greater proportions of distractors fixated and greater proportions of saccades made toward the distractor for object searches, but not for letter searches. Thus, attention in the real world can be flexibly and spatially distributed on the basis of contextual information, with the Surface Guidance Framework presenting a powerful tool for exploring attentional guidance in real-world scenes.

Keywords:  Attentional capture; Real-world attention; Scene context; Visual search

Mesh:

Year:  2019        PMID: 31161527     DOI: 10.3758/s13423-019-01610-z

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


  7 in total

1.  Multiple attention-based encoder-decoder networks for gas meter character recognition.

Authors:  Weidong Li; Shuai Wang; Inam Ullah; Xuehai Zhang; Jinlong Duan
Journal:  Sci Rep       Date:  2022-06-20       Impact factor: 4.996

Review 2.  Guided Search 6.0: An updated model of visual search.

Authors:  Jeremy M Wolfe
Journal:  Psychon Bull Rev       Date:  2021-02-05

Review 3.  The Changing Landscape: High-Level Influences on Eye Movement Guidance in Scenes.

Authors:  Carrick C Williams; Monica S Castelhano
Journal:  Vision (Basel)       Date:  2019-06-28

4.  Gaze dynamics are sensitive to target orienting for working memory encoding in virtual reality.

Authors:  Candace E Peacock; Ting Zhang; Brendan David-John; T Scott Murdison; Matthew J Boring; Hrvoje Benko; Tanya R Jonker
Journal:  J Vis       Date:  2022-01-04       Impact factor: 2.240

5.  Context matters during pick-and-place in VR: Impact on search and transport phases.

Authors:  Olga Lukashova-Sanz; Rajat Agarwala; Siegfried Wahl
Journal:  Front Psychol       Date:  2022-09-08

6.  Meaning and expected surfaces combine to guide attention during visual search in scenes.

Authors:  Candace E Peacock; Deborah A Cronin; Taylor R Hayes; John M Henderson
Journal:  J Vis       Date:  2021-10-05       Impact factor: 2.240

7.  Visual search in naturalistic scenes from foveal to peripheral vision: A comparison between dynamic and static displays.

Authors:  Antje Nuthmann; Teresa Canas-Bajo
Journal:  J Vis       Date:  2022-01-04       Impact factor: 2.240

  7 in total

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