{"id":"W3011443346","doi":"10.1145/3379336.3381492","title":"Using Augmented Reality and Ontologies to Co-design Assistive Technologies in Smart Homes","year":2020,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Autonomy; Home automation; Human–computer interaction; Augmented reality; Assistive technology; Assisted living; Computer science; Internet privacy; Co-design; Independent living; Activities of daily living; Disabled people; Psychology; Applied psychology; Gerontology; Medicine","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":[0.0003275378,0.0001374926,0.0002816833,0.0001506964,0.00006501259,0.0001624757,0.0003936982,0.00008105765,0.000005360399],"category_scores_gemma":[0.0004409729,0.0001225254,0.00002514815,0.000556145,0.00006464329,0.0004573835,0.0003830171,0.0001192454,0.00001956242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008717833,"about_ca_system_score_gemma":0.00005970704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004009746,"about_ca_topic_score_gemma":0.0002167702,"domain_scores_codex":[0.9987262,0.0001748183,0.0002308557,0.0004805354,0.0001685522,0.0002190506],"domain_scores_gemma":[0.9992013,0.0003386456,0.00007198007,0.0002584687,0.00006391345,0.00006569042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002160538,0.0002588125,0.1521336,0.0001572177,0.0001605232,0.000229946,0.006109877,0.0002408193,0.03134076,0.006235827,0.01027164,0.7926449],"study_design_scores_gemma":[0.004574408,0.002044097,0.367494,0.0006307163,0.00004638668,0.0002122681,0.02693796,0.3487881,0.2263176,0.008216325,0.01154587,0.003192263],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03905436,0.00006692207,0.9471937,0.01110192,0.00005977553,0.0004401575,0.000004930508,0.0008789811,0.001199197],"genre_scores_gemma":[0.9622385,0.000006323609,0.0373523,0.0003401024,0.000007061405,0.00002714356,6.465962e-7,0.000004431744,0.00002351482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9231841,"threshold_uncertainty_score":0.4996442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1966434507340798,"score_gpt":0.3417399347674798,"score_spread":0.1450964840333999,"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."}}