{"id":"W4386041245","doi":"10.1145/3603555.3603577","title":"How Are Your Participants Feeling Today? Accounting For and Assessing Emotions in Virtual Reality","year":2023,"lang":"en","type":"article","venue":"","topic":"Color perception and design","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Deutsche Forschungsgemeinschaft","keywords":"Feeling; Virtual reality; Computer science; Psychology; Human–computer interaction; Applied psychology; Cognitive psychology; Social psychology","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":[0.0006928619,0.00008505089,0.000145528,0.0001421345,0.0001514835,0.0001832095,0.00005338846,0.00009024015,0.0002013056],"category_scores_gemma":[0.0002443394,0.00008204704,0.00003592643,0.0002827416,0.00002749676,0.0001929823,0.00003421056,0.00009695213,0.00005928976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002622732,"about_ca_system_score_gemma":0.00001627672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008051118,"about_ca_topic_score_gemma":0.0005341141,"domain_scores_codex":[0.9990639,0.00008440296,0.0001597886,0.000268025,0.00007869198,0.0003451944],"domain_scores_gemma":[0.9994726,0.0002240574,0.00005838247,0.0001431613,0.00004125743,0.00006054171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003186094,0.0007087348,0.5768312,0.0001774504,0.0001607557,0.0001023756,0.02942208,0.0008752761,0.02489317,0.04342994,0.09826089,0.2248195],"study_design_scores_gemma":[0.0007208189,0.00003516739,0.9543059,0.00002943328,0.00001259379,0.000003106215,0.03271361,0.009253797,0.00001704526,0.0007427239,0.002024825,0.0001410015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735216,0.000007842514,0.01847143,0.005029929,0.0003268702,0.0002192522,0.00001015897,0.0001849402,0.002227937],"genre_scores_gemma":[0.9935471,0.000003997785,0.0002504174,0.0002557692,0.0001163461,0.00006523539,0.00001132533,0.00001341605,0.005736381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3774747,"threshold_uncertainty_score":0.3345781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2776489663020683,"score_gpt":0.4404957405661986,"score_spread":0.1628467742641302,"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."}}