Evidence map›Paper›PMID 42484592›Full record

ArticleJournal of vision2026

Capabilities and limitations of the Apple Vision Pro as a portable psychophysics tool: Replicating crowding and polar angle asymmetries.

Kamilla Volkova, Kaila Dowd, Michael A Grubb

Abstract read
In one paragraph

Article in Journal of vision, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

3 authors.

Kamilla VolkovaTrinity College, Hartford, CT, USA.
Kaila DowdPacific Northwest National Laboratory, Richland, WA, USA.
Michael A GrubbTrinity College, Hartford, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many classic questions in vision science require presenting stimuli at precisely controlled locations in the visual field, a demand that has traditionally been met with specialized laboratory setups involving chinrests, high-resolution displays, and commercial eye trackers. Recent advances in portable mixed-reality hardware raise the possibility that some forms of visual psychophysics could be conducted on consumer devices outside these fixed laboratory environments. Here, we evaluate one such instrument, the Apple Vision Pro, by asking whether it can support psychophysical experiments on two well-studied aspects of peripheral vision: crowding and polar angle asymmetries. These phenomena provide useful benchmarks because both depend on precise control over stimulus position and their behavioral signatures have been well characterized. At the same time, the Apple Vision Pro poses important methodological challenges for vision research, including the inability to access continuous real-time eye-position data and the use of visionOS "points," rather than degrees of visual angle to specify stimulus size and location. We outline strategies for working within these constraints and argue that the usefulness of the platform is not all-or-none, but depends on the scientific question being asked. Specifically, the Apple Vision Pro may be well suited to paradigms in which fixation can be verified at trial onset, stimulus presentation is brief enough to preclude eye movements, and relative positioning of stimuli is sufficient for the comparison of interest, while remaining less suitable for paradigms requiring continuous gaze monitoring, precise specification of absolute eccentricity, or direct quantitative comparison with conventional lab-based setups.

Indexed as

PsychophysicsVisual FieldsHumansPhotic Stimulation

Identifiers

PMID42484592
PMCPMC13401117

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.