{"id":"W4206356196","doi":"10.1109/cog52621.2021.9618989","title":"Real-time Stress Detection Model and Voice Analysis: An Integrated VR-based Game for Training Public Speaking Skills","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Conference on Games (CoG)","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Speech recognition; Stress (linguistics); Mel-frequency cepstrum; Virtual reality; Video game; Random forest; Envelope (radar); Training (meteorology); Speaker recognition; Multimedia; Feature extraction; Artificial intelligence; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003432125,0.0002855873,0.0004521297,0.000452892,0.0001263827,0.0002573806,0.000141929,0.0002651655,0.001319061],"category_scores_gemma":[0.0001441166,0.0002879153,0.0001882768,0.000688824,0.00008336059,0.0002317827,0.00001375865,0.0002804293,0.00008008507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004747736,"about_ca_system_score_gemma":0.00023143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009591183,"about_ca_topic_score_gemma":0.001658944,"domain_scores_codex":[0.9977871,0.000359521,0.0004037889,0.0008117885,0.0002015013,0.0004362589],"domain_scores_gemma":[0.9983175,0.0001762696,0.0002236916,0.0004253845,0.000637136,0.0002200352],"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":[0.0004526034,0.001586729,0.0003233404,0.0001032395,0.001927219,0.00006200566,0.01130557,0.005602681,0.0978858,0.003002767,0.0002430995,0.8775049],"study_design_scores_gemma":[0.003065528,0.0006620833,0.003762302,0.0003022088,0.001348024,0.00001776047,0.009590609,0.9650616,0.01309714,0.001219011,0.001028392,0.0008453162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.784046,0.00004766041,0.2028805,0.000666738,0.0005400936,0.0005938578,0.0002883966,0.0002243665,0.01071231],"genre_scores_gemma":[0.9936899,0.00003782436,0.002234707,0.0003734513,0.0001368484,0.0001555785,0.000745327,0.00003956057,0.002586809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9594589,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08512959743910012,"score_gpt":0.336388096687515,"score_spread":0.2512584992484149,"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."}}