Literature DB >> 34062375

Target value and prevalence influence visual foraging in younger and older age.

Iris Wiegand1, Jeremy M Wolfe2.   

Abstract

The prevalence and reward-value of targets have an influence on visual search. The strength of the effect of an item's reward-value on attentional selection varies substantially between individuals and is potentially sensitive to aging. We investigated individual and age differences in a hybrid foraging task, in which the prevalence and value of multiple target types was varied. Using optimal foraging theory measures, foraging was more efficient overall in younger than older observers. However, the influence of prevalence and value on target selections was similar across age groups, suggesting that the underlying cognitive mechanisms are preserved in older age. When prevalence was varied but target value was balanced, younger and older observers preferably selected the most frequent target type and were biased to select another instance of the previously selected target type. When value was varied, younger and older observers showed a tendency to select high-value targets, but preferences were more diverse between individuals. When value and prevalence were inversely related, some observers showed particularly strong preferences for high-valued target types, while others showed a preference for high-prevalent, albeit low-value, target types. In younger adults, individual differences in the selection choices correlated with a personality index, suggesting that avoiding selections of low-value targets may be related to reward-seeking behaviour.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cognitive aging; Foraging; Personality traits; Reward; Visual search

Mesh:

Year:  2021        PMID: 34062375      PMCID: PMC8978103          DOI: 10.1016/j.visres.2021.05.001

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  68 in total

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2.  New design principles for visual acuity letter charts.

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4.  Age-related changes in deterministic learning from positive versus negative performance feedback.

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Review 5.  A value-driven mechanism of attentional selection.

Authors:  Brian A Anderson
Journal:  J Vis       Date:  2013-04-15       Impact factor: 2.240

Review 6.  Dopaminergic and prefrontal contributions to reward-based learning and outcome monitoring during child development and aging.

Authors:  Dorothea Hämmerer; Ben Eppinger
Journal:  Dev Psychol       Date:  2012-03-05

7.  Learning in anticipation of reward and punishment: perspectives across the human lifespan.

Authors:  Matthew J Betts; Anni Richter; Lieke de Boer; Jana Tegelbeckers; Valentina Perosa; Valentin Baumann; Rumana Chowdhury; Ray J Dolan; Constanze Seidenbecher; Björn H Schott; Emrah Düzel; Marc Guitart-Masip; Kerstin Krauel
Journal:  Neurobiol Aging       Date:  2020-08-22       Impact factor: 4.673

8.  Hybrid foraging search: Searching for multiple instances of multiple types of target.

Authors:  Jeremy M Wolfe; Avigael M Aizenman; Sage E P Boettcher; Matthew S Cain
Journal:  Vision Res       Date:  2016-01-20       Impact factor: 1.886

9.  Reward guides vision when it's your thing: trait reward-seeking in reward-mediated visual priming.

Authors:  Clayton Hickey; Leonardo Chelazzi; Jan Theeuwes
Journal:  PLoS One       Date:  2010-11-23       Impact factor: 3.240

10.  Visual Selection: Usually Fast and Automatic; Seldom Slow and Volitional.

Authors:  Jan Theeuwes
Journal:  J Cogn       Date:  2018-05-14
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  1 in total

1.  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

  1 in total

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