{"doi":"10.1093/gerona/glaf044","title":"A Preliminary Usability Evaluation of an Artificial Intelligence-Based, Motion-Detecting Wearable Device: The Geriatric Functional Assessment System","abstract":"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, nonrandomized, 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 min. We assessed walking speed, 30-s 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.","journal":"The Journals of Gerontology Series A","year":2025,"id":540521,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9537,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1428578,"name":"Rishank Singh","orcid":null,"position":1,"is_corresponding":false},{"id":1428579,"name":"Jennifer G. Poole","orcid":null,"position":2,"is_corresponding":false},{"id":1373606,"name":"Paige Bramblett","orcid":null,"position":3,"is_corresponding":false},{"id":1076900,"name":"Danae C. Gross","orcid":"0000-0003-3892-9408","position":4,"is_corresponding":false},{"id":1428248,"name":"M. Gilliam","orcid":"0000-0002-5882-9802","position":5,"is_corresponding":false},{"id":1428580,"name":"Chaterlee Pamintuan","orcid":null,"position":6,"is_corresponding":false},{"id":1428581,"name":"Beckham Nora","orcid":null,"position":7,"is_corresponding":false},{"id":881174,"name":"David H. Lynch","orcid":"0000-0002-2512-9367","position":8,"is_corresponding":false},{"id":1428249,"name":"Xiaohui Liang","orcid":"0000-0001-6351-2538","position":9,"is_corresponding":false},{"id":272507,"name":"John A. Batsis","orcid":"0000-0002-0845-4416","position":0,"is_corresponding":true}],"reference_count":18,"raw_metadata":null,"created_at":"2026-07-19T02:52:38.861025Z","pmid":"40037593","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}