{"id":"W4234705590","doi":"10.32920/ryerson.14652744","title":"Emotional Immersion Through Interactive Media","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Brock University","funders":"","keywords":"Sadness; Disgust; Anger; Happiness; Interactivity; CLIPS; Immersion (mathematics); Psychology; Variety (cybernetics); Multimedia; Video game; Computer science; Cognitive psychology; Social 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":[0.0004024961,0.0005151446,0.0001898095,0.0004387262,0.0005203538,0.004376234,0.0004023272,0.0005327782,0.01134877],"category_scores_gemma":[0.002573503,0.0001954541,0.0003924331,0.0002042795,0.00112384,0.002379767,0.004171482,0.0006120556,0.0009812134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089065,"about_ca_system_score_gemma":0.0001347434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002323828,"about_ca_topic_score_gemma":0.0001976068,"domain_scores_codex":[0.9994149,0.0002616656,0.0000189713,0.00006726295,0.0001491995,0.00008808389],"domain_scores_gemma":[0.99935,0.000404955,0.00004514481,0.00005456051,0.00005343882,0.00009177969],"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":[0.002086258,0.0005483456,0.00762658,0.002412472,0.000355557,0.002100064,0.08331998,0.004522389,0.2484582,0.2041945,0.0213815,0.422994],"study_design_scores_gemma":[0.0005371784,0.002500283,0.04923597,0.001571848,0.0005466821,0.006082213,0.0384091,0.01927314,0.07765688,0.1755505,0.6282746,0.0003616321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5824116,0.004595667,0.09401528,0.002521927,0.0006039019,0.0001888245,0.0003094907,0.001194818,0.3141584],"genre_scores_gemma":[0.9689609,0.001116746,0.009484195,0.0003427992,0.0001439513,0.0001576882,0.000101973,0.0001556743,0.0195359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134877,"threshold_uncertainty_score":0.03796536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06003857748232906,"score_gpt":0.328067555300594,"score_spread":0.268028977818265,"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."}}