Evidence map›Paper›PMID 42675284›Full record

ArticleAttention, perception & psychophysics2026

Depth-based visual capture of sound in virtual reality is driven by perceived distance.

Maggie K McCracken, Macy E Rowland, Hunter C Finney, Jeanine K Stefanucci, Sarah H Creem-Regehr

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Article in Attention, perception & psychophysics, 2026. 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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0citing papers in PubMed
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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

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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

5 authors.

Maggie K McCrackenDepartment of Psychology, University of Utah, 380 S 1530 E, Salt Lake City, UT, 84112, USA. maggie.mccracken@psych.utah.edu.ORCID http://orcid.org/0009-0006-5280-0546
Macy E RowlandDepartment of Psychology, University of Utah, 380 S 1530 E, Salt Lake City, UT, 84112, USA.
Hunter C FinneyDepartment of Psychology, University of Utah, 380 S 1530 E, Salt Lake City, UT, 84112, USA.
Jeanine K StefanucciDepartment of Psychology, University of Utah, 380 S 1530 E, Salt Lake City, UT, 84112, USA.
Sarah H Creem-RegehrDepartment of Psychology, University of Utah, 380 S 1530 E, Salt Lake City, UT, 84112, USA.

Funding

National Science Foundation Graduate Research Fellowship Program 2139322
6 · The paper itself

Abstract

Visual information typically dominates auditory cues in spatial localization, particularly in depth, leading to the proximity image effect (PIE) in which displaced sounds are perceived closer to plausible visual objects than they actually are (visual capture). It is unclear whether fundamental properties of audiovisual integration generalize to virtual environments where spatial perception is systematically distorted. Across two experiments, we tested whether real-world sound sources are visually captured by virtual objects in immersive virtual reality (VR). Participants completed a perceptual-matching task in which they indicated when a real-world sound source aligned with the depth of a virtual object. In Experiment 1, visual capture reliably occurred; however, the effect was opposite to real-world findings, with stronger capture happening when the sound originated in front of the visual object rather than behind it. Experiment 2 replicated this pattern and revealed significant visual distance underestimation measured with a blind-walking task. When judgments of auditory-visual co-location were interpreted relative to the participants' perceived visual distance rather than the actual physical distance, the expected real-world symmetry reemerged. These results demonstrate that core principles of multisensory integration are preserved in VR, but VR-specific biases, such as the visual underestimation of distance, may alter the direction of the established effects.

Indexed as

Depth PerceptionDistance PerceptionSound LocalizationVirtual RealityVisual PerceptionAdultCuesFemaleHumansMaleYoung Adult3D perception: Cue integrationMultisensory ProcessingSpatial localization

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What OpenQuestion holds

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Registered trials

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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.