Literature DB >> 9707117

Visual search has no memory.

T S Horowitz1, J M Wolfe.   

Abstract

Humans spend a lot of time searching for things, such as roadside traffic signs, soccer balls or tumours in mammograms. These tasks involve the deployment of attention from one item in the visual field to the next. Common sense suggests that rejected items should be noted in some fashion so that effort is not expended in re-examining items that have been attended to and rejected. However, common sense is wrong. Here we asked human observers to search for a letter 'T' among letters 'L'. This search demands visual attention and normally proceeds at a rate of 20-30 milliseconds per item. In the critical condition, we randomly relocated all letters every 111 milliseconds. This made it impossible for the subjects to keep track of the progress of the search. Nevertheless, the efficiency of the search was unchanged. Theories of visual search all assume that search relies on accumulating information about the identity of objects over time. Such theories predict that search efficiency will be drastically reduced if the scene is continually shuffled while the observer is trying to search through it. As we show that efficiency is not impaired, the standard theories must be revised.

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Year:  1998        PMID: 9707117     DOI: 10.1038/29068

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  86 in total

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Authors:  Takashi R Sato; Katsumi Watanabe; Kirk G Thompson; Jeffrey D Schall
Journal:  Exp Brain Res       Date:  2003-06-12       Impact factor: 1.972

2.  Search for multiple targets: evidence for memory-based control of attention.

Authors:  Yuji Takeda
Journal:  Psychon Bull Rev       Date:  2004-02

3.  Marking rejected distractors: a gaze-contingent technique for measuring memory during search.

Authors:  Christopher A Dickinson; Gregory J Zelinsky
Journal:  Psychon Bull Rev       Date:  2005-12

4.  Rapid onset and long-term inhibition of return in the multiple cuing paradigm.

Authors:  Michael D Dodd; Jay Pratt
Journal:  Psychol Res       Date:  2006-04-14

5.  Memory processes in multiple-target visual search.

Authors:  Christof Körner; Iain D Gilchrist
Journal:  Psychol Res       Date:  2006-09-22

6.  Fruitful visual search: inhibition of return in a virtual foraging task.

Authors:  Laura E Thomas; Michael S Ambinder; Brendon Hsieh; Brian Levinthal; James A Crowell; David E Irwin; Arthur F Kramer; Alejandro Lleras; Daniel J Simons; Ranxiao Frances Wang
Journal:  Psychon Bull Rev       Date:  2006-10

7.  Major issues in the study of visual search: Part 2 of "40 Years of Feature Integration: Special Issue in Memory of Anne Treisman".

Authors:  Jeremy M Wolfe
Journal:  Atten Percept Psychophys       Date:  2020-02       Impact factor: 2.199

8.  Investigating attention in complex visual search.

Authors:  Christopher K Kovach; Ralph Adolphs
Journal:  Vision Res       Date:  2014-12-08       Impact factor: 1.886

9.  Attentional coding of categorical relations in scene perception: evidence from the flicker paradigm.

Authors:  Luke J Rosielle; Brian T Crabb; Eric E Cooper
Journal:  Psychon Bull Rev       Date:  2002-06

10.  Lévy-like diffusion in eye movements during spoken-language comprehension.

Authors:  Damian G Stephen; Daniel Mirman; James S Magnuson; James A Dixon
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-05-27
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