{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001888722,0.00009288349,0.000132114,0.00008511778,0.00009777202,0.0001185428,0.000574541,0.00005715174,0.000007655955],"category_scores_gemma":[0.00008542687,0.00007697642,0.00007998517,0.0003144943,0.0000168072,0.0002053154,0.0001411168,0.00004779704,0.0001062267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003004429,"about_ca_system_score_gemma":0.00011127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001283955,"about_ca_topic_score_gemma":0.0001403728,"domain_scores_codex":[0.9991873,0.00002499229,0.0001509714,0.0003017494,0.0001053575,0.0002296291],"domain_scores_gemma":[0.9992298,0.0001764094,0.00003696698,0.0003766929,0.0001190837,0.00006100644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003700878,0.00007880154,0.0002825634,0.00004287936,0.00005145868,0.000005660195,0.000863456,0.00002537652,0.0003452568,0.7366399,0.2057883,0.05583936],"study_design_scores_gemma":[0.001788286,0.0004258892,0.001065011,0.0001359129,0.00002130395,0.000007227907,0.001044174,0.110193,0.0129201,0.02525173,0.8466414,0.0005059454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001866995,0.0002602637,0.8148038,0.001489951,0.001095371,0.0002812301,0.000003238127,0.0002084401,0.181671],"genre_scores_gemma":[0.6857275,0.000005818463,0.1850271,0.002826154,0.0003707765,0.000158161,0.000007772312,0.00001248195,0.1258642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7113881,"threshold_uncertainty_score":0.3139007,"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."}}