Literature DB >> 31898061

Foraging with Anne Treisman: Features versus conjunctions, patch leaving and memory for foraged locations.

Árni Kristjánsson1,2, Andri S Björnsson3, Tómas Kristjánsson3.   

Abstract

Foraging tasks are increasingly used to investigate human visual attention as they may provide a more dynamic and multifaceted picture of attentional orienting than more traditionally used visual search tasks. A common way of assessing foraging performance involves measuring when foragers decide to move to a new "patch" with a higher yield. We assessed this using Anne Treisman's famous feature versus conjunction manipulation in an iPad foraging task. We measured how well patch leaving accorded with the predictions of the marginal value theorem that describes how foragers may optimize their foraging by leaving a patch once the average yield within a patch drops below the average yield in the whole environment. Human foraging in our paradigm deviated from the predictions of such optimal foraging conceptions, and our participants kept on foraging within the same patch for longer than expected. Patch leaving and intertarget times differed surprisingly little between feature and conjunction foraging, especially in light of the dramatic differences typically seen between performance on feature and conjunction visual search tasks. Other aspects of foraging performance (run number and switch costs) differed strongly between feature and conjunction foraging, however. We conclude that human foraging is probably influenced by too many factors to be captured with a relatively simple mathematical model.

Entities:  

Keywords:  Attention; Attention: Selective; Cognitive and attentional control

Mesh:

Year:  2020        PMID: 31898061     DOI: 10.3758/s13414-019-01941-y

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


  2 in total

1.  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

2.  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

  2 in total

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