Literature DB >> 26237297

Winter is coming: How humans forage in a temporally structured environment.

Daryl Fougnie, Sarah M Cormiea, Jinxia Zhang, George A Alvarez, Jeremy M Wolfe.   

Abstract

Much is known about visual search for single targets, but relatively little about how participants "forage" for multiple targets. One important question is how long participants will search before moving to a new display. Evidence suggests that participants should leave when intake drops below the average rate ("optimal foraging," Charnov, 1976). However, the real world has temporal structure (e.g., seasons) that could influence behavior. Does it matter if winter is coming and the next display will be worse than the last? We gave participants a series of search displays and asked them to collect targets as fast as possible. Target density was structured-rising and falling systematically across trials. We measured the duration for which participants foraged in each display (trials were terminated by participants). Foraging behavior was affected by temporal structure-counter to a simple optimal foraging account, observers searched displays longer when quality was falling compared to rising (Experiments 1 and 2). Additionally, we found that temporal structure altered explicit predictions about display quality (Experiment 2). These results demonstrate that foraging theories need to consider richer models of observers' representations of the world.

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Mesh:

Year:  2015        PMID: 26237297      PMCID: PMC4948597          DOI: 10.1167/15.11.1

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


  37 in total

1.  Electrophysiological measurement of rapid shifts of attention during visual search.

Authors:  G F Woodman; S J Luck
Journal:  Nature       Date:  1999-08-26       Impact factor: 49.962

2.  Moving towards solutions to some enduring controversies in visual search.

Authors:  Jeremy M. Wolfe
Journal:  Trends Cogn Sci       Date:  2003-02       Impact factor: 20.229

3.  Modeling task switching without switching tasks: a short-term priming account of explicitly cued performance.

Authors:  Darryl W Schneider; Gordon D Logan
Journal:  J Exp Psychol Gen       Date:  2005-08

4.  Effects of search mode and intertrial priming on singleton search.

Authors:  Dominique Lamy; Tomer Carmel; Howard E Egeth; Andrew B Leber
Journal:  Percept Psychophys       Date:  2006-08

5.  Spatial constraints on learning in visual search: modeling contextual cuing.

Authors:  Timothy F Brady; Marvin M Chun
Journal:  J Exp Psychol Hum Percept Perform       Date:  2007-08       Impact factor: 3.332

6.  A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates.

Authors:  Timothy F Brady; Joshua B Tenenbaum
Journal:  Psychol Rev       Date:  2012-12-10       Impact factor: 8.934

7.  Reaction time distributions constrain models of visual search.

Authors:  Jeremy M Wolfe; Evan M Palmer; Todd S Horowitz
Journal:  Vision Res       Date:  2009-11-04       Impact factor: 1.886

8.  A bayesian optimal foraging model of human visual search.

Authors:  Matthew S Cain; Edward Vul; Kait Clark; Stephen R Mitroff
Journal:  Psychol Sci       Date:  2012-08-06

9.  When is it time to move to the next raspberry bush? Foraging rules in human visual search.

Authors:  Jeremy M Wolfe
Journal:  J Vis       Date:  2013-01-01       Impact factor: 2.240

10.  Facilitating stable representations: serial dependence in vision.

Authors:  Jennifer E Corbett; Jason Fischer; David Whitney
Journal:  PLoS One       Date:  2011-01-31       Impact factor: 3.240

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  7 in total

1.  Using the past to anticipate the future in human foraging behavior.

Authors:  Jinxia Zhang; Xue Gong; Daryl Fougnie; Jeremy M Wolfe
Journal:  Vision Res       Date:  2015-04-11       Impact factor: 1.886

Review 2.  Foraging behavior in visual search: A review of theoretical and mathematical models in humans and animals.

Authors:  Marcos Bella-Fernández; Manuel Suero Suñé; Beatriz Gil-Gómez de Liaño
Journal:  Psychol Res       Date:  2021-03-21

Review 3.  Guided Search 6.0: An updated model of visual search.

Authors:  Jeremy M Wolfe
Journal:  Psychon Bull Rev       Date:  2021-02-05

4.  Face familiarity promotes stable identity recognition: exploring face perception using serial dependence.

Authors:  Rebecca Kok; Jessica Taubert; Erik Van der Burg; Gillian Rhodes; David Alais
Journal:  R Soc Open Sci       Date:  2017-03-01       Impact factor: 2.963

5.  MILO Mobile: An iPad App to Measure Search Performance in Multi-Target Sequences.

Authors:  Ian M Thornton; Todd S Horowitz
Journal:  Iperception       Date:  2020-06-20

6.  Foraging as sampling without replacement: A Bayesian statistical model for estimating biases in target selection.

Authors:  Alasdair D F Clarke; Amelia R Hunt; Anna E Hughes
Journal:  PLoS Comput Biol       Date:  2022-01-24       Impact factor: 4.475

7.  Understanding Mood of the Crowd with Facial Expressions: Majority Judgment for Evaluation of Statistical Summary Perception.

Authors:  Yoshiyuki Ueda
Journal:  Atten Percept Psychophys       Date:  2022-03-15       Impact factor: 2.199

  7 in total

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