{"id":"W7125642941","doi":"10.1109/cascon66301.2025.00023","title":"Quiet Interaction: Designing a DHH Accessible Home Environment with Mixed Reality AI and IoT","year":2025,"lang":"","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"QUIET; Mixed reality; Internet of Things; Home automation","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":[0.0003013737,0.0004518748,0.0002705382,0.000175027,0.0004113823,0.001251749,0.001101463,0.000605387,0.003809229],"category_scores_gemma":[0.0005756346,0.0002926016,0.0003616499,0.0000927073,0.0003891826,0.0009226684,0.002140343,0.0004719169,0.001074197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342164,"about_ca_system_score_gemma":0.000422357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010355,"about_ca_topic_score_gemma":0.002543337,"domain_scores_codex":[0.9996357,0.0001219963,0.00001625273,0.00007109356,0.00008572322,0.00006928619],"domain_scores_gemma":[0.99984,0.00004482016,0.000009719745,0.00002093762,0.00002797871,0.00005636444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001006766,0.001431239,0.008659147,0.0008048943,0.0002002864,0.003228131,0.009927399,0.03091746,0.4910745,0.03279918,0.01328161,0.4066693],"study_design_scores_gemma":[0.0002707955,0.002645333,0.01449338,0.0002202056,0.0003977397,0.003863619,0.007798354,0.5613094,0.1963906,0.02082982,0.1914515,0.0003293808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1630701,0.0001964417,0.8115248,0.0003215038,0.0001084083,0.0003074573,0.0001489014,0.00296619,0.02135617],"genre_scores_gemma":[0.6795539,0.0001314562,0.3053969,0.0002627686,0.00002384162,0.0002471199,0.0001524032,0.0002067682,0.01402493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003809229,"threshold_uncertainty_score":0.01274318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852236291206083,"score_gpt":0.2915960649260191,"score_spread":0.2530737020139583,"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."}}