Adaptive cueing
Support levels are updated from recent search and motor performance, with cue fading for regions where the patient succeeds reliably.
Mixed-reality rehabilitation research
Adaptive spatial training
ARBingo is a research prototype for Meta Quest that combines game-based rehabilitation tasks with patient-specific adaptive cueing and longitudinal performance tracking.
Clinical workflow
Each participant keeps a separate progress record, model state, and session history. The system is built around repeated home or clinic sessions where cueing can fade as performance improves.
Therapists and researchers can review uploaded rounds, timing summaries, spatial prediction maps, and model state availability in a protected workflow.
Support levels are updated from recent search and motor performance, with cue fading for regions where the patient succeeds reliably.
The GPR model emphasizes recent trials, making adaptation responsive during multi-week training instead of being dominated by early sessions.
Multiple participants can use the same Quest while maintaining separate local and cloud-backed training progress.
Round-level JSON records and patient export manifests support later analysis of training time, completed records, cue use, and model state.
Status
ARBingo is currently being developed for research and clinical decision-support workflows. It is not presented here as a standalone medical treatment or consumer product.