ResXR: infrastructure for quality-controlled, reproducible studies of human behavior in Extended Reality

ResXR is an open-source XR toolkit that standardizes immersive behavioral data on standalone Meta Quest headsets, exporting Motion-BIDS datasets with quality reports.

• Why it matters: Behavioral XR studies often lack shared infrastructure, forcing labs to build custom immersive systems and produce incompatible data formats that others cannot easily reanalyze.
• What they did: ResXR uses a Unity template to record head, hand, eye, and face tracking with per-sample SDK timestamps and status flags, then runs an independent Python pipeline for quality checks, masking, and Motion-BIDS export.
• The result: In stress tests on Meta Quest Pro, induced tracking failures still left several status flags marking data as valid, supporting transparent, community-extensible quality control for reproducible XR experimentation.

AI summary of the abstract · may contain errors · not medical advice · read the paper.