{"id":"W1940647742","doi":"10.1108/jat-10-2014-0026","title":"Co-designing a speech interface for people with dysarthria","year":2015,"lang":"en","type":"article","venue":"Journal of Assistive Technologies","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; York University","funders":"","keywords":"Personalization; Participatory design; Human–computer interaction; Interface (matter); Originality; Computer science; Dysarthria; User interface; Modality (human–computer interaction); User experience design; Domain (mathematical analysis); User interface design; Multimedia; Engineering; World Wide Web; Psychology; Creativity","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":[0.008780478,0.0009754067,0.0007673198,0.0009626353,0.001383396,0.002895868,0.001209017,0.001736186,0.003783649],"category_scores_gemma":[0.01856074,0.0004105845,0.0008545231,0.0003781834,0.001236045,0.002219825,0.00290587,0.0009149654,0.001892836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005574251,"about_ca_system_score_gemma":0.001667691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005730019,"about_ca_topic_score_gemma":0.00121723,"domain_scores_codex":[0.9935221,0.003715513,0.0005525433,0.0006692093,0.001223356,0.0003174014],"domain_scores_gemma":[0.9894111,0.005853803,0.0004643037,0.001074219,0.002596624,0.0005999398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001442616,0.003439683,0.03589894,0.003689057,0.0002606904,0.003862071,0.1309845,0.002816939,0.1346381,0.002706161,0.007375877,0.6728854],"study_design_scores_gemma":[0.001982626,0.02563066,0.09784802,0.002618076,0.002015004,0.0385691,0.1858383,0.05167125,0.2616136,0.01225455,0.3188281,0.001130641],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7932022,0.0007780823,0.1903953,0.0006542763,0.0001844837,0.001944994,0.0001396528,0.002020663,0.01068038],"genre_scores_gemma":[0.6942051,0.0005252881,0.2915535,0.0003928868,0.00005011303,0.001643862,0.0003066469,0.0003362634,0.0109862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008780478,"threshold_uncertainty_score":0.04643619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04068731344452398,"score_gpt":0.3205762683544178,"score_spread":0.2798889549098939,"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."}}