{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003853809,0.0004224239,0.0001538885,0.0004247111,0.0006911776,0.0009696655,0.0008115488,0.001082286,0.00199987],"category_scores_gemma":[0.00674551,0.0002595757,0.0003245754,0.0001460945,0.0005339081,0.001498343,0.0009888127,0.000477819,0.0009587092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002673724,"about_ca_system_score_gemma":0.001023464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006775816,"about_ca_topic_score_gemma":0.001973018,"domain_scores_codex":[0.9989869,0.0005702369,0.0000980833,0.0001219738,0.0001238126,0.00009887144],"domain_scores_gemma":[0.9981042,0.0009053969,0.0002004676,0.00008901855,0.0003984873,0.0003023782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005176004,0.002580235,0.05200214,0.003545861,0.00006981271,0.00210665,0.200588,0.000943793,0.09707062,0.002631184,0.01287696,0.6250672],"study_design_scores_gemma":[0.0009545995,0.02921912,0.1448514,0.004022637,0.0007100525,0.01457451,0.3099518,0.01561481,0.07773241,0.005100754,0.3967981,0.0004696174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8779604,0.0008191387,0.1064356,0.001859678,0.0001633543,0.001435562,0.0001156843,0.0009369519,0.01027359],"genre_scores_gemma":[0.7647457,0.0006897238,0.2256041,0.0009904271,0.00004811521,0.0009315819,0.0001099939,0.00005777714,0.006822554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003853809,"threshold_uncertainty_score":0.02038115,"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."}}