Literature DB >> 32320631

Visual Search: How Do We Find What We Are Looking For?

Jeremy M Wolfe1,2,3.   

Abstract

In visual search tasks, observers look for targets among distractors. In the lab, this often takes the form of multiple searches for a simple shape that may or may not be present among other items scattered at random on a computer screen (e.g., Find a red T among other letters that are either black or red.). In the real world, observers may search for multiple classes of target in complex scenes that occur only once (e.g., As I emerge from the subway, can I find lunch, my friend, and a street sign in the scene before me?). This article reviews work on how search is guided intelligently. I ask how serial and parallel processes collaborate in visual search, describe the distinction between search templates in working memory and target templates in long-term memory, and consider how searches are terminated.

Keywords:  foraging; parallel processing; serial processing; visual attention; visual search; working memory

Mesh:

Year:  2020        PMID: 32320631     DOI: 10.1146/annurev-vision-091718-015048

Source DB:  PubMed          Journal:  Annu Rev Vis Sci        ISSN: 2374-4642            Impact factor:   6.422


  20 in total

1.  Memory after visual search: Overlapping phonology, shared meaning, and bilingual experience influence what we remember.

Authors:  Viorica Marian; Sayuri Hayakawa; Scott R Schroeder
Journal:  Brain Lang       Date:  2021-08-28       Impact factor: 2.381

Review 2.  Normal blindness: when we Look But Fail To See.

Authors:  Jeremy M Wolfe; Anna Kosovicheva; Benjamin Wolfe
Journal:  Trends Cogn Sci       Date:  2022-07-21       Impact factor: 24.482

3.  No evidence for superior distractor filtering amongst individuals high in autistic-like traits.

Authors:  Troy A W Visser; Michael C W English; Murray T Maybery
Journal:  Atten Percept Psychophys       Date:  2022-10-07       Impact factor: 2.157

4.  Visual Attention and Poor Sleep Quality.

Authors:  Amirhussein Abdolalizadeh; Samaneh Nabavi
Journal:  Front Neurosci       Date:  2022-06-02       Impact factor: 5.152

Review 5.  Avoiding potential pitfalls in visual search and eye-movement experiments: A tutorial review.

Authors:  Hayward J Godwin; Michael C Hout; Katrín J Alexdóttir; Stephen C Walenchok; Anthony S Barnhart
Journal:  Atten Percept Psychophys       Date:  2021-06-04       Impact factor: 2.199

6.  Saliency-Aware Subtle Augmentation Improves Human Visual Search Performance in VR.

Authors:  Olga Lukashova-Sanz; Siegfried Wahl
Journal:  Brain Sci       Date:  2021-02-25

7.  Great expectations: minor differences in initial instructions have a major impact on visual search in the absence of feedback.

Authors:  Patrick H Cox; Dwight J Kravitz; Stephen R Mitroff
Journal:  Cogn Res Princ Implic       Date:  2021-03-19

8.  Binocular fusion enhances the efficiency of spot-the-difference gameplay.

Authors:  Kavitha Venkataramanan; Swanandi Gawde; Amithavikram R Hathibelagal; Shrikant R Bharadwaj
Journal:  PLoS One       Date:  2021-07-20       Impact factor: 3.240

9.  Preventing action slows down performance in perceptual judgment.

Authors:  D Quarona; M Raffuzzi; M Costantini; C Sinigaglia
Journal:  Exp Brain Res       Date:  2020-10-13       Impact factor: 1.972

10.  Goal-directed and stimulus-driven selection of internal representations.

Authors:  Freek van Ede; Alexander G Board; Anna C Nobre
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-14       Impact factor: 11.205

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