{"id":"W4409870642","doi":"10.1145/3706599.3716395","title":"Conversational Voice Interfaces: Translating Research Into Actionable Design","year":2025,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Carleton University; University of Waterloo","funders":"","keywords":"Computer science; Human–computer interaction","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":[0.000903133,0.00008277528,0.00008191556,0.0003015794,0.0003931689,0.0002598376,0.0008685965,0.00005756728,0.0002920541],"category_scores_gemma":[0.0001298183,0.00007986256,0.00003233023,0.001004222,0.00005605789,0.001116396,0.0002067631,0.0003267279,0.000533709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977869,"about_ca_system_score_gemma":0.0003150308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005938812,"about_ca_topic_score_gemma":0.0001755153,"domain_scores_codex":[0.9986318,0.0002223768,0.0002121932,0.0003389373,0.0003496983,0.0002449355],"domain_scores_gemma":[0.9978147,0.001312341,0.00002985562,0.0003791995,0.0004176526,0.00004621863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005059103,0.0002447575,0.0005518138,0.0001071364,0.0001605268,0.000008055549,0.01194998,0.008781287,0.02824109,0.8126109,0.08283009,0.05446375],"study_design_scores_gemma":[0.0004355594,0.00008630179,0.0004239703,0.0001261398,0.00000687456,0.000009826216,0.003136535,0.6966709,0.06494773,0.1655329,0.0683835,0.0002396777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008530553,0.0000333139,0.9214037,0.01833338,0.0005052321,0.0001717937,2.96361e-7,0.0001839479,0.05851531],"genre_scores_gemma":[0.6702049,0.000003692992,0.3197324,0.0007831873,0.00003704337,0.00004912523,0.000001233607,0.000004981172,0.009183425],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6878896,"threshold_uncertainty_score":0.6859927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045919644047365,"score_gpt":0.399870980464939,"score_spread":0.2952790160602025,"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."}}