Evidence map›Paper›PMID 40760298›Full record

ArticleAttention, perception & psychophysics2025

Mixed hybrid visual foraging is near optimal.

Injae Hong, Jeremy M Wolfe

Abstract read
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In one paragraph

Article in Attention, perception & psychophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Injae HongCenter for Cognitive Science, Yonsei University, Seoul, South Korea.ORCID http://orcid.org/0000-0003-3322-5938
Jeremy M WolfeVisual Attention Lab, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02135, USA. jwolfe@bwh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated patch-leaving strategies in mixed hybrid visual foraging scenarios, focusing on how target specificity and the number of target sets influence overall outcomes. In mixed hybrid foraging, participants collect targets from patches with varying types (specific and categorical) and numbers (three or six) of targets. Despite the complexity introduced by having multiple target types, participants' patch-leaving behavior remained broadly consistent with the predictions of the marginal value theorem (MVT), suggesting that quitting strategies are based on similar rules across different conditions. While overall foraging performance varied with target specificity and the number of sets, patch-leaving decisions consistently adhered to a simple, rule-based approach. This study highlights the robustness of visual foraging strategies and suggests that effective patch-leaving behavior is maintained even in complex visual environments.

Indexed as

AttentionDecision MakingPattern Recognition, VisualAdultFemaleHumansMaleYoung AdultMixed hybrid visual foragingMVTPatch-leavingVisual foraging

Identifiers

What OpenQuestion holds

Textmetadata
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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.