Literature DB >> 32077742

The confirmation and prevalence biases in visual search reflect separate underlying processes.

Stephen C Walenchok1, Stephen D Goldinger1, Michael C Hout1.   

Abstract

Research by Rajsic, Wilson, and Pratt (2015, 2017) suggests that people are biased to use a target-confirming strategy when performing simple visual search. In 3 experiments, we sought to determine whether another stubborn phenomenon in visual search, the low-prevalence effect (Wolfe, Horowitz, & Kenner, 2005), would modulate this confirmatory bias. We varied the reliability of the initial cue: For some people, targets usually occurred in the cued color (high prevalence). For others, targets rarely matched the cues (low prevalence). High cue-target prevalence exacerbated the confirmation bias, indexed via search response times (RTs) and eye-tracking measures. Surprisingly, given low cue-target prevalence, people remained biased to examine cue-colored letters, even though cue-colored targets were exceedingly rare. At the same time, people were more fluent at detecting the more common, cue-mismatching targets. The findings suggest that attention is guided to "confirm" the more available cued target template, but prevalence learning over time determines how fluently objects are perceptually appreciated. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

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Year:  2020        PMID: 32077742      PMCID: PMC7185152          DOI: 10.1037/xhp0000714

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  42 in total

1.  Search for multiple targets: remember the targets, forget the search.

Authors:  T S Horowitz; J M Wolfe
Journal:  Percept Psychophys       Date:  2001-02

2.  Roles of salience and strategy in conjunction search.

Authors:  Kenith V Sobel; Kyle R Cave
Journal:  J Exp Psychol Hum Percept Perform       Date:  2002-10       Impact factor: 3.332

3.  Low target prevalence is a stubborn source of errors in visual search tasks.

Authors:  Jeremy M Wolfe; Todd S Horowitz; Michael J Van Wert; Naomi M Kenner; Skyler S Place; Nour Kibbi
Journal:  J Exp Psychol Gen       Date:  2007-11

4.  Search guidance is proportional to the categorical specificity of a target cue.

Authors:  Joseph Schmidt; Gregory J Zelinsky
Journal:  Q J Exp Psychol (Hove)       Date:  2009-05-19       Impact factor: 2.143

5.  The price of information: Increased inspection costs reduce the confirmation bias in visual search.

Authors:  Jason Rajsic; Daryl E Wilson; Jay Pratt
Journal:  Q J Exp Psychol (Hove)       Date:  2018-01-01       Impact factor: 2.143

6.  Infrequent identity mismatches are frequently undetected.

Authors:  Megan H Papesh; Stephen D Goldinger
Journal:  Atten Percept Psychophys       Date:  2014-07       Impact factor: 2.199

7.  Balancing energetic and cognitive resources: memory use during search depends on the orienting effector.

Authors:  Grayden J F Solman; Alan Kingstone
Journal:  Cognition       Date:  2014-06-16

8.  Reasoning about a rule.

Authors:  P C Wason
Journal:  Q J Exp Psychol       Date:  1968-08       Impact factor: 2.143

9.  Failures of perception in the low-prevalence effect: Evidence from active and passive visual search.

Authors:  Michael C Hout; Stephen C Walenchok; Stephen D Goldinger; Jeremy M Wolfe
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-04-27       Impact factor: 3.332

10.  Target templates: the precision of mental representations affects attentional guidance and decision-making in visual search.

Authors:  Michael C Hout; Stephen D Goldinger
Journal:  Atten Percept Psychophys       Date:  2015-01       Impact factor: 2.199

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  1 in total

1.  Eye movements reflect expertise development in hybrid search.

Authors:  Megan H Papesh; Michael C Hout; Juan D Guevara Pinto; Arryn Robbins; Alexis Lopez
Journal:  Cogn Res Princ Implic       Date:  2021-02-15
  1 in total

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