{"id":"W4383617219","doi":"10.1007/978-3-031-34917-1_3","title":"My Iliad: A Ludic Interface Using Ambient Assistive Technology to Promote Aging in Place","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; HEC Montréal; Université du Québec à Chicoutimi; Institut Universitaire de Gériatrie de Montréal; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"","keywords":"Usability; Curiosity; Openness to experience; Computer science; Human–computer interaction; Interface (matter); Older people; User interface; Activities of daily living; Independent living; Applied psychology; Psychology; Gerontology; Medicine; Social psychology","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":[0.0002915957,0.0007223971,0.0003217542,0.0006061384,0.0003744881,0.001055661,0.001024359,0.0007999357,0.04459614],"category_scores_gemma":[0.0004778527,0.0001746554,0.0004372971,0.0002463334,0.0001648622,0.001074058,0.001624617,0.0006717959,0.009736789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339245,"about_ca_system_score_gemma":0.0002868661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004256843,"about_ca_topic_score_gemma":0.00169458,"domain_scores_codex":[0.9999254,0.00001496753,0.000004096839,0.00001445101,0.00003000891,0.00001110265],"domain_scores_gemma":[0.9998873,0.00004628132,0.000005460414,0.000007773539,0.00002117976,0.00003190873],"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":[0.0005623433,0.0007077427,0.001363841,0.000940939,0.0000379772,0.0005829541,0.002887519,0.0003904846,0.03376552,0.005017796,0.2402719,0.713471],"study_design_scores_gemma":[0.0003638889,0.002024247,0.01432233,0.000754845,0.0002971063,0.002783311,0.0034219,0.006630374,0.01996157,0.005859222,0.9433878,0.0001934169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1418169,0.008365465,0.4154536,0.00345263,0.003296962,0.0009328077,0.003771181,0.06277636,0.3601341],"genre_scores_gemma":[0.1635628,0.004551828,0.1829691,0.00313167,0.0003961179,0.001045372,0.00287513,0.003026288,0.6384418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04459614,"threshold_uncertainty_score":0.1491889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429124017430617,"score_gpt":0.3171118441798969,"score_spread":0.2928206040055907,"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."}}