Literature DB >> 22006528

The effects of local prevalence and explicit expectations on search termination times.

Kazuya Ishibashi1, Shinichi Kita, Jeremy M Wolfe.   

Abstract

In visual search tasks, the relative proportions of target-present and -absent trials have important effects on behavior. Miss error rates rise as target prevalence decreases (Wolfe, Horowitz, & Kenner, Nature 435, 439-440, 2005). At the same time, search termination times on target-absent trials become shorter (Wolfe & Van Wert, Current Biology 20, 121-124, 2010). These effects must depend on some implicit or explicit knowledge of the current prevalence. What is the nature of that knowledge? In Experiment 1, we conducted visual search tasks at three levels of prevalence (6%, 50%, and 94%) and analyzed performance as a function of "local prevalence," the prevalence over the last n trials. The results replicated the usual effects of overall prevalence but revealed only weak or absent effects of local prevalence. In Experiment 2, the overall prevalence in a block of trials was 20%, 50%, or 80%. However, a 100%-valid cue informed observers of the prevalence on the next trial. These explicit cues had a modest effect on target-absent RTs, but explicit expectation could not explain the full prevalence effect. We conclude that observers predict prevalence on the basis of an assessment of a relatively long prior history. Each trial contributes a small amount to that assessment, and this can be modulated but not overruled by explicit instruction.

Entities:  

Mesh:

Year:  2012        PMID: 22006528      PMCID: PMC3968907          DOI: 10.3758/s13414-011-0225-4

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  13 in total

1.  The role of priming in conjunctive visual search.

Authors:  Arni Kristjánsson; DeLiang Wang; Ken Nakayama
Journal:  Cognition       Date:  2002-08

2.  Changing your mind: on the contributions of top-down and bottom-up guidance in visual search for feature singletons.

Authors:  Jeremy M Wolfe; Serena J Butcher; Carol Lee; Megan Hyle
Journal:  J Exp Psychol Hum Percept Perform       Date:  2003-04       Impact factor: 3.332

3.  Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system.

Authors:  David Gur; Jules H Sumkin; Howard E Rockette; Marie Ganott; Christiane Hakim; Lara Hardesty; William R Poller; Ratan Shah; Luisa Wallace
Journal:  J Natl Cancer Inst       Date:  2004-02-04       Impact factor: 13.506

4.  Cognitive psychology: rare items often missed in visual searches.

Authors:  Jeremy M Wolfe; Todd S Horowitz; Naomi M Kenner
Journal:  Nature       Date:  2005-05-26       Impact factor: 49.962

5.  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

6.  Rare targets are rarely missed in correctable search.

Authors:  Mathias S Fleck; Stephen R Mitroff
Journal:  Psychol Sci       Date:  2007-11

7.  The effect of abnormality-prevalence expectation on expert observer performance and visual search.

Authors:  Warren M Reed; John T Ryan; Mark F McEntee; Michael G Evanoff; Patrick C Brennan
Journal:  Radiology       Date:  2011-01-19       Impact factor: 11.105

8.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

9.  Priming of pop-out: I. Role of features.

Authors:  V Maljkovic; K Nakayama
Journal:  Mem Cognit       Date:  1994-11

10.  Why do we miss rare targets? Exploring the boundaries of the low prevalence effect.

Authors:  Anina N Rich; Melina A Kunar; Michael J Van Wert; Barbara Hidalgo-Sotelo; Todd S Horowitz; Jeremy M Wolfe
Journal:  J Vis       Date:  2008-11-24       Impact factor: 2.240

View more
  15 in total

1.  Prevalence effects in newly trained airport checkpoint screeners: trained observers miss rare targets, too.

Authors:  Jeremy M Wolfe; David N Brunelli; Joshua Rubinstein; Todd S Horowitz
Journal:  J Vis       Date:  2013-12-02       Impact factor: 2.240

2.  The effect of expert knowledge on medical search: medical experts have specialized abilities for detecting serious lesions.

Authors:  Ryoichi Nakashima; Chisaki Watanabe; Eriko Maeda; Takeharu Yoshikawa; Izuru Matsuda; Soichiro Miki; Kazuhiko Yokosawa
Journal:  Psychol Res       Date:  2014-10-01

3.  Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

Authors:  Melissa Treviño; George Birdsong; Ann Carrigan; Peter Choyke; Trafton Drew; Miguel Eckstein; Anna Fernandez; Brandon D Gallas; Maryellen Giger; Stephen M Hewitt; Todd S Horowitz; Yuhong V Jiang; Bonnie Kudrick; Susana Martinez-Conde; Stephen Mitroff; Linda Nebeling; Joseph Saltz; Frank Samuelson; Steven E Seltzer; Behrouz Shabestari; Lalitha Shankar; Eliot Siegel; Mike Tilkin; Jennifer S Trueblood; Alison L Van Dyke; Aradhana M Venkatesan; David Whitney; Jeremy M Wolfe
Journal:  JNCI Cancer Spectr       Date:  2022-01-05

4.  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

5.  Neural signatures of vigilance decrements predict behavioural errors before they occur.

Authors:  Alexandra Woolgar; Anina N Rich; Hamid Karimi-Rouzbahani
Journal:  Elife       Date:  2021-04-08       Impact factor: 8.140

6.  Prevalence effect in haptic search.

Authors:  Kazuya Ishibashi; Ken Watanabe; Yutaka Takaoka; Tetsuya Watanabe; Shinichi Kita
Journal:  Iperception       Date:  2012-07-31

7.  Influence of being videotaped on the prevalence effect during visual search.

Authors:  Yuki Miyazaki
Journal:  Front Psychol       Date:  2015-05-06

8.  Probability cueing influences miss rate and decision criterion in visual searches.

Authors:  Kazuya Ishibashi; Shinichi Kita
Journal:  Iperception       Date:  2014-08-12

9.  Understanding the contribution of target repetition and target expectation to the emergence of the prevalence effect in visual search.

Authors:  Hayward J Godwin; Tamaryn Menneer; Charlotte A Riggs; Dominic Taunton; Kyle R Cave; Nick Donnel
Journal:  Psychon Bull Rev       Date:  2016-06

10.  Eye movement feedback fails to improve visual search performance.

Authors:  Chad Peltier; Mark W Becker
Journal:  Cogn Res Princ Implic       Date:  2017-11-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.