Case Studies
Pattern-based XR analytics in practice
Five examples of how spatial behavior signals — gaze, locomotion, hesitation, frame-time correlation — translate into decisions about UX, comfort, accessibility and stability. Patterns are illustrative and derived from common XR project profiles; no individual customer data is exposed.
Accessibility — WCAG-aligned XR
Gaze dwell and reach-zone signals mapped against WCAG 2.2 criteria to surface inaccessible XR interactions.
Read case studyComfort & Presence — Discomfort moments
Locomotion velocity, rotation curves and head-tilt patterns reveal predictable discomfort moments before users abandon.
Read case study4 Heatmaps — Spatial behavior
Four spatial heatmap layers (paths, attention, objects viewed, issues) reveal where attention and effort actually went.
Read case studyStability — Crashes, freezes & breakpoints
Frame-time spikes correlated with locomotion and interaction patterns at exact spatial breakpoints.
Read case studyAI Predictions — Signals to decisions
Historical biomechanical patterns feed a predictive model that scores friction risk before launch.
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