{"id":"W4396832608","doi":"10.1145/3613905.3636287","title":"CUI@CHI 2024: Building Trust in CUIs—From Design to Deployment","year":2024,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo; University of Toronto","funders":"","keywords":"Breakout; Usability; Multidisciplinary approach; Software deployment; Computer science; Order (exchange); Human–computer interaction; Human interaction; Knowledge management; Sociology; Business; Software engineering","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":[0.01645022,0.0008734147,0.0004821626,0.0007542289,0.001901495,0.004094752,0.00219258,0.001696523,0.01110255],"category_scores_gemma":[0.0391137,0.0009556782,0.0004684133,0.0006383832,0.002257815,0.005445545,0.004539951,0.002471809,0.002158974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002976587,"about_ca_system_score_gemma":0.00648574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935216,"about_ca_topic_score_gemma":0.02105749,"domain_scores_codex":[0.9925072,0.005214864,0.000254595,0.0004625898,0.0009228298,0.0006378714],"domain_scores_gemma":[0.9762699,0.01094586,0.0005417321,0.003505284,0.004865651,0.003871596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001681476,0.002127202,0.0245625,0.002057862,0.0001800169,0.001157046,0.07179394,0.007494719,0.02393348,0.0717188,0.117558,0.6757349],"study_design_scores_gemma":[0.001412177,0.009909394,0.02406734,0.001788663,0.0006982723,0.001424215,0.05860829,0.2032053,0.03811083,0.07094418,0.5890856,0.0007456855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3532447,0.001792273,0.5031302,0.02041856,0.0009928502,0.005115592,0.0008517283,0.02734898,0.08710513],"genre_scores_gemma":[0.6468025,0.0006579226,0.3209473,0.001751791,0.0001104021,0.003192159,0.001044386,0.002359039,0.02313443],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01935216,"threshold_uncertainty_score":0.08699816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351599390332929,"score_gpt":0.309575272614337,"score_spread":0.2760592787110078,"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."}}