Evidence map›Paper›PMID 39541518›Full record

ArticleJournal of experimental psychology. General2025

Risky hybrid foraging: The impact of risk, reward value, and prevalence on foraging behavior in hybrid visual search.

Yanjun Liu, Jeremy M Wolfe, Jennifer S Trueblood

Abstract read
In one paragraph

Article in Journal of experimental psychology. General, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yanjun LiuSchool of Psychology, University of New South Wales.ORCID 0000-0001-6850-107X
Jeremy M WolfeBrigham and Women's Hospital, Harvard Medical School, Harvard University.
Jennifer S TruebloodDepartment of Psychological and Brain Sciences, Indiana University.

Funding

Prevalence effects in visual search: Theoretical and practical implicationsR01EY017001 · NEI · BRIGHAM AND WOMEN'S HOSPITAL · PI Jeremy M Wolfe · 2007 to 2026
$8.2M
Improving Perception in Digital Breast TomographyR01CA207490 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI WOLFE, JEREMY M · 2016 to 2025
$4.6M
National Institutes of Health; National Eye InstituteNational Science Foundation; Directorate for Social, Behavioral, and Economic SciencesNational Science Foundation; Division of Social and Economic SciencesNCI NIH HHSNCI NIH HHS R01 CA207490NEI NIH HHS R01 EY017001
6 · The paper itself

Abstract

In hybrid foraging, foragers search for multiple targets in multiple patches throughout the foraging session, mimicking a range of real-world scenarios. This research examines outcome uncertainty, the prevalence of different target types, and the reward value of targets in human hybrid foraging. Our empirical findings show a consistent tendency toward risk-averse behavior in hybrid foraging. That is, people display a preference for certainty and actively avoid taking risks. While altering the prevalence or reward value of the risky targets does influence people's aversion to risk, the overall effect of risk remains dominant. Additionally, simulation results suggest that the observed risk-averse strategy is suboptimal in the sense that it prevents foragers from maximizing their overall returns. These results underscore the crucial role of outcome uncertainty in shaping hybrid foraging behavior and shed light on potential theoretical developments bridging theories in decision making and hybrid foraging. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Indexed as

Appetitive BehaviorDecision MakingRewardRisk-TakingVisual PerceptionAdultFemaleHumansMaleUncertaintyYoung Adult

Identifiers

PMID39541518
PMCPMC12075627

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.