Evidence map›Paper›PMID 42816733›Full record

ArticleBehavior research methods2026

VRrec: A zero-coding open-source VR body-motion capture tool for behavioral research.

Pawel Kobylinski, Bartosz Muczynski, Daniel Cnotkowski, Mariusz Wierzbowski, Cezary Biele

Abstract read
In one paragraph

Article in Behavior research methods, 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

5 authors.

Pawel KobylinskiNational Information Processing Institute, al. Niepodleglosci 188 B, 00-608, Warsaw, Poland. pawel.kobylinski@opi.org.pl.ORCID http://orcid.org/0000-0001-5598-3292
Bartosz MuczynskiMaritime University of Szczecin, Szczecin, Poland.
Daniel CnotkowskiNational Information Processing Institute, al. Niepodleglosci 188 B, 00-608, Warsaw, Poland.
Mariusz WierzbowskiNational Information Processing Institute, al. Niepodleglosci 188 B, 00-608, Warsaw, Poland.
Cezary BieleVIZJA University, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present VRrec, an open-source, motion-tracking and recording tool for PC-based virtual reality (VR). The tool addresses a persistent gap in VR-based experimental research by enabling real-time capture of head, hand, and optional body-tracking data without the need to code. VRrec runs discreetly in the background, collecting positional and rotational data as researchers engage participants with third-party VR applications. This design lets researchers use flexible paradigms that leverage off-the-shelf VR content, eliminating the need to build or modify custom software. However, because VRrec does not read application-level events or object states from the target VR software, it does not directly support paradigms that require synchronization with in-app events or distances to dynamic virtual objects or avatars. VRrec still allows manual event marking for contextual annotation. The resulting data are stored as plain text, which can be imported into various analysis pipelines to derive behavioral metrics in fields such as social psychology, rehabilitation, and consumer research. Evaluations show consistent and stable recording performance with minimal impact on system resources, while also indicating some limitations for study designs that require millisecond-accurate timing precision. By streamlining VR motion data acquisition, VRrec broadens the range of feasible VR study designs and reduces technical barriers, making VR-based behavioral research more accessible. Both the source code and the executable version of VRrec are freely available on GitHub.

Indexed as

Behavioral ResearchUser-Computer InterfaceVirtual RealityHumansMotion CaptureBehavioral research toolBody-motion captureOpen sourceVirtual reality

Identifiers

PMID42816733
PMCPMC13627176

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.