GEAR analytics: A clinician dashboard for a mobile game assisted rehabilitation system
Mufizur Rahman, Bimlesh Wadhwa, Atreyi Kankanhalli, Yeow Chen Hua, Cheng Kai Kei, Lim Jeong Hoon, Sharmila Jayakkumar, Chua Cai Lin · 2016
GEAR, a mobile GamE Assisted Rehabilitation system, is being developed to enhance users' engagement and adherence to their prescribed exercise regime. GEAR consists of a sensor unit encased in a wearable wristband to monitor user's arm movement, a mobile game that incorporates the exercises, and a backend database with a dashboard for clinicians. In this paper we report on the design, prototyping, and evaluation of GEAR analytics - the interactive dashboard implemented to effectively organize, visualize, and evaluate the data collected from the GEAR device for clinicians. A user-centric design approach was adopted to identify features and arrive at the design decisions for the dashboard. Two datasets (n=10, n=49) collected during the evaluation of GEAR, were used to populate the main dashboard, which was rendered in the form of responsive web interactions. The results of evaluating GEAR Analytics show that through this application clinicians can effectively consolidate health patterns among patients and use it to recommend appropriate follow-up treatments.