Adaptive spatial training

Personalized AR bingo for visual search and movement practice.

ARBingo is a research prototype for Meta Quest that combines game-based rehabilitation tasks with patient-specific adaptive cueing and longitudinal performance tracking.

Mixed-reality rehabilitation session with floating spatial targets
DeviceMeta Quest
AdaptationPatient-specific GPR
Training focusSearch, reach, place
Data scopePer participant

Clinical workflow

Designed for repeated therapy sessions, not one-off demos.

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.

01

Adaptive cueing

Support levels are updated from recent search and motor performance, with cue fading for regions where the patient succeeds reliably.

02

Sliding-window learning

The GPR model emphasizes recent trials, making adaptation responsive during multi-week training instead of being dominated by early sessions.

03

Shared headset use

Multiple participants can use the same Quest while maintaining separate local and cloud-backed training progress.

04

Research data export

Round-level JSON records and patient export manifests support later analysis of training time, completed records, cue use, and model state.

Status

Research prototype

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.