Literature DB >> 21856869

Object co-occurrence serves as a contextual cue to guide and facilitate visual search in a natural viewing environment.

Stephen C Mack1, Miguel P Eckstein.   

Abstract

There is accumulating evidence that scene context can guide and facilitate visual search (e.g., A. Torralba, A. Oliva, M. S. Castelhano, & J. M. Henderson, 2006). Previous studies utilized stimuli of restricted size, a fixed head position, and context defined by the global spatial configuration of the scene. Thus, it is unknown whether similar effects generalize to natural viewing environments and to context defined by local object co-occurrence. Here, with a mobile eye tracker, we investigated the effects of object co-occurrence on search performance under naturalistic conditions. Observers searched for low-visibility target objects on tables cluttered with everyday objects. Targets were either located adjacent to larger, more visible "cue" objects that they regularly co-occurred in natural scenes (expected condition) or elsewhere in the display, surrounded by unrelated objects (unexpected condition). Mean search times were shorter for targets at expected locations as compared to unexpected locations. Additionally, context guided eye movements, as more fixations were directed toward cue objects than other non-target objects, particularly when the cue was contextually relevant to the current search target. These results could not be accounted for by image saliency models. Thus, we conclude that object co-occurrence can serve as a contextual cue to facilitate search and guide eye movements in natural environments.

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Year:  2011        PMID: 21856869     DOI: 10.1167/11.9.9

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


  27 in total

1.  The attraction of visual attention to texts in real-world scenes.

Authors:  Hsueh-Cheng Wang; Marc Pomplun
Journal:  J Vis       Date:  2012-06-19       Impact factor: 2.240

2.  Parietal cortex integrates contextual and saliency signals during the encoding of natural scenes in working memory.

Authors:  Valerio Santangelo; Simona Arianna Di Francesco; Serena Mastroberardino; Emiliano Macaluso
Journal:  Hum Brain Mapp       Date:  2015-09-03       Impact factor: 5.038

3.  Incremental implicit learning of bundles of statistical patterns.

Authors:  Ting Qian; T Florian Jaeger; Richard N Aslin
Journal:  Cognition       Date:  2016-09-15

4.  Scene grammar shapes the way we interact with objects, strengthens memories, and speeds search.

Authors:  Dejan Draschkow; Melissa L-H Võ
Journal:  Sci Rep       Date:  2017-11-28       Impact factor: 4.379

Review 5.  Guidance of visual search by memory and knowledge.

Authors:  Andrew Hollingworth
Journal:  Nebr Symp Motiv       Date:  2012

6.  EEG signatures of contextual influences on visual search with real scenes.

Authors:  Amir H Meghdadi; Barry Giesbrecht; Miguel P Eckstein
Journal:  Exp Brain Res       Date:  2021-01-04       Impact factor: 1.972

Review 7.  Making Sense of Real-World Scenes.

Authors:  George L Malcolm; Iris I A Groen; Chris I Baker
Journal:  Trends Cogn Sci       Date:  2016-10-18       Impact factor: 20.229

8.  Optimal and human eye movements to clustered low value cues to increase decision rewards during search.

Authors:  Miguel P Eckstein; Wade Schoonveld; Sheng Zhang; Stephen C Mack; Emre Akbas
Journal:  Vision Res       Date:  2015-06-17       Impact factor: 1.886

9.  Both memory and attention systems contribute to visual search for targets cued by implicitly learned context.

Authors:  Barry Giesbrecht; Jocelyn L Sy; Scott A Guerin
Journal:  Vision Res       Date:  2012-10-23       Impact factor: 1.886

10.  Statistics of high-level scene context.

Authors:  Michelle R Greene
Journal:  Front Psychol       Date:  2013-10-29
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