{"id":"W4394979938","doi":"10.1145/3658666","title":"Qualitative Approaches to Voice UX","year":2024,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"AI in Service Interactions","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science","keywords":"Computer science; Rigour; Qualitative research; Human–computer interaction; Praxis; Diversity (politics); Natural (archaeology); User experience design; Multimedia; Data science; Sociology; Epistemology","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006166528,0.0007086343,0.001549432,0.0005561166,0.0002241308,0.0007976742,0.005837903,0.0002761054,0.000008925181],"category_scores_gemma":[0.001139039,0.0006001543,0.0005833604,0.002495627,0.00004451273,0.0003126126,0.005214307,0.00114414,0.007652628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077989,"about_ca_system_score_gemma":0.000392231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002241089,"about_ca_topic_score_gemma":0.00007506082,"domain_scores_codex":[0.9916859,0.004641435,0.001032869,0.001493122,0.0005099645,0.0006367538],"domain_scores_gemma":[0.9901121,0.006382266,0.0004074127,0.002724133,0.0001451262,0.0002289523],"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":[1.562218e-7,0.00003746187,5.01772e-7,0.00437396,0.0002278179,0.00002294239,0.008525016,0.00002885525,2.238196e-8,0.00523757,0.006665818,0.9748799],"study_design_scores_gemma":[0.00003224052,0.00005179752,0.000006276373,0.009461682,0.0002055727,0.00008190185,0.0002833019,0.00272971,3.2624e-7,0.002008039,0.984347,0.0007921541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001946307,0.6782801,0.3157761,0.0006644187,0.002701922,0.000517551,0.00002800464,0.0006639185,0.001365958],"genre_scores_gemma":[0.0001274128,0.751881,0.2432026,0.0004869205,0.001313354,0.000149653,0.00014346,0.0002396807,0.002455927],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9776812,"threshold_uncertainty_score":0.999645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5016200263884921,"score_gpt":0.4725346859859625,"score_spread":0.02908534040252964,"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."}}