{"id":"W4410298224","doi":"10.1109/hri61500.2025.10974224","title":"I Know You're Listening: Adaptive Voice for HRI","year":2025,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Active listening; Computer science; Speech recognition; Human–computer interaction; Psychology; Communication","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":[0.0009658625,0.0004647271,0.0002840564,0.0003008411,0.0004073168,0.001150087,0.001076618,0.0007140665,0.008466677],"category_scores_gemma":[0.002818123,0.0001419398,0.0002657418,0.0002565151,0.0005070185,0.001136476,0.001123623,0.0006462332,0.003293612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265084,"about_ca_system_score_gemma":0.0002892405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005155238,"about_ca_topic_score_gemma":0.001446504,"domain_scores_codex":[0.9995396,0.0001572811,0.00002018658,0.00009451255,0.0001352609,0.00005319602],"domain_scores_gemma":[0.9990193,0.0005449366,0.0000545769,0.0001402859,0.0001493067,0.00009161851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008601511,0.0002851005,0.001829442,0.0006631151,0.00007011474,0.0003985589,0.002164056,0.00420375,0.131914,0.006988346,0.01390115,0.8367223],"study_design_scores_gemma":[0.0004757953,0.003516422,0.02651837,0.0008203626,0.0006496879,0.005613165,0.005187587,0.3137365,0.2045183,0.05278041,0.3856853,0.0004981287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1179064,0.006252505,0.7992106,0.002697347,0.001025477,0.0006383725,0.0007818819,0.01250912,0.05897825],"genre_scores_gemma":[0.654538,0.002052357,0.3216743,0.001317637,0.0004582544,0.0003544461,0.0007668787,0.0006945659,0.01814353],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008466677,"threshold_uncertainty_score":0.02832389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245698100230017,"score_gpt":0.270534814168204,"score_spread":0.2480778331659038,"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."}}