{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004574413,0.0003238552,0.000299792,0.0004478203,0.0005941596,0.001946429,0.0003677664,0.0005586508,0.002792894],"category_scores_gemma":[0.0128794,0.0001794215,0.0004542057,0.0002265339,0.0008103595,0.001012857,0.0009273217,0.0007058894,0.0006365257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345572,"about_ca_system_score_gemma":0.0003393416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000488462,"about_ca_topic_score_gemma":0.0008682875,"domain_scores_codex":[0.9976196,0.001585461,0.0001134616,0.0002274131,0.0002516928,0.0002024141],"domain_scores_gemma":[0.9954608,0.002319339,0.000888528,0.0003193699,0.0006549453,0.00035699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00166129,0.001291188,0.3070785,0.001469515,0.0002653578,0.0008809221,0.3776684,0.00154755,0.06742822,0.004443697,0.006398375,0.229867],"study_design_scores_gemma":[0.000225291,0.003021129,0.5451285,0.0005964985,0.0003612833,0.001870981,0.3888298,0.006070048,0.01433274,0.007353267,0.03176688,0.0004435862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98766,0.0002121956,0.006902056,0.000426832,0.00005892414,0.0001870699,0.0000919477,0.00004111144,0.004419871],"genre_scores_gemma":[0.9942276,0.000195202,0.003868077,0.0001627067,0.00001590747,0.0005126855,0.00006256322,0.00001443139,0.000940835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004574413,"threshold_uncertainty_score":0.02419209,"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."}}