{"id":"W4225149910","doi":"10.1145/3491102.3517599","title":"Expressive Auditory Gestures in a Voice-Based Pedagogical Agent","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gesture; Computer science; Speech recognition; Artificial intelligence","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":[0.002160965,0.0005302879,0.0003774333,0.0002748116,0.0004652266,0.001883127,0.0005516854,0.0007464105,0.002960289],"category_scores_gemma":[0.01106987,0.0002324857,0.000305651,0.0001173639,0.0009559791,0.001324523,0.001515874,0.0005630254,0.0006357733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815126,"about_ca_system_score_gemma":0.0003015927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002183884,"about_ca_topic_score_gemma":0.0002671308,"domain_scores_codex":[0.9967903,0.002210295,0.0001079585,0.0002884641,0.0004854427,0.0001174215],"domain_scores_gemma":[0.9949078,0.003711326,0.0005389841,0.0002830079,0.0002808519,0.0002780671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002893637,0.001717197,0.02570276,0.001744333,0.0002236813,0.001848431,0.05495954,0.009741404,0.6252839,0.01061678,0.001143512,0.2641248],"study_design_scores_gemma":[0.001735509,0.03294859,0.1674823,0.001236667,0.002063276,0.008415612,0.07147104,0.1561809,0.4025069,0.03535685,0.1196793,0.0009230112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532896,0.0002531117,0.04068223,0.0001558996,0.00005665401,0.0001168261,0.00002217404,0.0003512175,0.00507227],"genre_scores_gemma":[0.9706941,0.0001080379,0.02679192,0.00007124813,0.00002165719,0.0001215504,0.0000238217,0.000031513,0.002136181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002960289,"threshold_uncertainty_score":0.01142842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1735665553433907,"score_gpt":0.3479224640722172,"score_spread":0.1743559087288265,"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."}}