{"id":"W4413326301","doi":"10.1177/2327857925141003","title":"“Do What I Say”: Designing a Voice Assistant to Help Train Older Adults in Product Assembly","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Product (mathematics); Psychology; Aeronautics; Computer science; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007636535,0.0001698362,0.0002619577,0.0003688343,0.0002877645,0.0001877066,0.00073466,0.0001180468,0.000003217091],"category_scores_gemma":[0.0003248679,0.0001482592,0.00005594856,0.0003483001,0.0001093817,0.0003337445,0.0001815774,0.0003129595,6.923952e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274454,"about_ca_system_score_gemma":0.0001965176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003079323,"about_ca_topic_score_gemma":0.0102431,"domain_scores_codex":[0.9983576,0.00002908169,0.0005170461,0.0004750851,0.0002845848,0.0003365999],"domain_scores_gemma":[0.9992349,0.0001173607,0.0002475577,0.000104643,0.0002184449,0.000077096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004938266,0.0002897423,0.6862935,0.0006307776,0.0000493451,8.790767e-7,0.2318566,0.00007323717,0.003141601,0.06700329,0.001091555,0.009075586],"study_design_scores_gemma":[0.001590073,0.000240077,0.7793573,0.008266465,0.00001091462,8.731283e-7,0.1902144,0.00005122765,0.0123448,0.001467018,0.005985207,0.0004716608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812111,0.0002960679,0.000001575511,0.01567487,0.0006693623,0.0008366915,0.0000119197,0.00003687739,0.001261576],"genre_scores_gemma":[0.998618,0.0002499065,0.0001456497,0.0007155951,0.00006295006,0.00005946335,0.000002646802,0.00001278203,0.0001330048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09306372,"threshold_uncertainty_score":0.6045836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072008035412973,"score_gpt":0.3185472863015595,"score_spread":0.2978272059474297,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}