{"id":"W2132522078","doi":"10.1145/2503385.2503466","title":"Immersive virtual reality and affective computing for gaming, fear and anxiety management","year":2013,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Biofeedback; Human–computer interaction; Virtual reality; Immersion (mathematics); Multimedia; Anxiety; Visualization; Video game; Psychology; 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":[0.0005304286,0.0005010995,0.0002894588,0.0003304935,0.0002424389,0.001212393,0.0006239533,0.0005277035,0.0066692],"category_scores_gemma":[0.001049885,0.0001539621,0.0004650714,0.0002632865,0.000567854,0.0007268958,0.001059594,0.0006287918,0.0008604619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339038,"about_ca_system_score_gemma":0.0002096531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007275809,"about_ca_topic_score_gemma":0.001484979,"domain_scores_codex":[0.9997314,0.0001070633,0.00001222482,0.00002966059,0.00009436639,0.00002523992],"domain_scores_gemma":[0.9996868,0.0001883445,0.00001800748,0.00002852037,0.00004433241,0.00003395597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000336421,0.0003607711,0.001949698,0.001189752,0.0001426879,0.0003959557,0.001113747,0.006222403,0.03750326,0.09197776,0.03225306,0.8265545],"study_design_scores_gemma":[0.0002745901,0.001814218,0.02587019,0.001438226,0.0003772235,0.005364265,0.002052106,0.1020642,0.02519325,0.1996815,0.6355139,0.0003563618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07469843,0.1048458,0.5795683,0.007197423,0.002379777,0.0005015431,0.0005886294,0.002684423,0.2275357],"genre_scores_gemma":[0.7132944,0.03075468,0.2122044,0.002495405,0.0008470038,0.0006642457,0.0004416271,0.0002508834,0.03904738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0066692,"threshold_uncertainty_score":0.02231067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226066890318549,"score_gpt":0.3103701152026163,"score_spread":0.2877634261707614,"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."}}