A Preliminary Usability Evaluation of an Artificial Intelligence-based, motion-detecting Wearable device: the Geriatric Functional Assessment System

Background Physical function is a key determinant of independence among older adults. Yet, there are barriers to assessing physical function in clinic. We developed a wearable geriatric functional assessment system (GFAS) that quickly and effortlessly evaluates physical function. Methods A single-arm, non-randomized, mixed-methods, usability study evaluated the design, ergonomics, and usability of the GFAS. Participants aged >65 years with multiple chronic conditions were recruited and wore the GFAS about the clinic for 15-minutes. We assessed walking speed, 30-second sit-to-stand, and evaluated postural balance using a Footscan pressure plate system. In addition to transcribed exit-interviews and a Willingness to Pay questionnaire, the USE, Technology Acceptance, and System Usability Scales were evaluated. Results Of the 37 participants screened, 21 were recruited, enrolled, and consented, whose mean age was 76.6±5.45 years (52.4% female), with 28.6% non-White, 19% were on Medicaid, and 52.4% were classified as having a robust Fried frailty status. Participants favored the prototype and its existing functionality (7.14±2.35) and would wear it if recommended by their clinician (7.62±2.50, median 8.0). All felt it was easy to use, 74% of comments outlined they would use it again, and 81% noted it was comfortable. System Usability score was 78.2 ± 14.5, USE was 5.83 ± 3.59, and Technology Acceptance demonstrated satisfaction of 7.05 ± 2.18 in using the device. Conclusions The GFAS prototype shows considerable promise in evaluating physical function in older adults and that additional steps are needed to maximize usability.