{"id":"W4409763168","doi":"10.1109/vrw66409.2025.00036","title":"Generative AI for Personalized Multisensory Immersive Experiences: Challenges and Opportunities for Stress Reduction","year":2025,"lang":"en","type":"article","venue":"","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Stress reduction; Computer science; Reduction (mathematics); Generative grammar; Human–computer interaction; Stress (linguistics); Multimedia; Artificial intelligence; Psychology; Psychotherapist","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":[0.001220483,0.0005255786,0.0002975641,0.000355719,0.0003010822,0.002069925,0.00114474,0.0006019145,0.005803858],"category_scores_gemma":[0.00252224,0.0002612038,0.0007520854,0.0002047412,0.001106214,0.001481536,0.00171848,0.0009962849,0.0007311393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846707,"about_ca_system_score_gemma":0.0002775185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025356,"about_ca_topic_score_gemma":0.0005217104,"domain_scores_codex":[0.9993486,0.0003355702,0.00002374987,0.0000634222,0.0001710046,0.000057762],"domain_scores_gemma":[0.9985796,0.0008765607,0.00007414318,0.0003085581,0.00006875426,0.00009228227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006472436,0.001296097,0.004619679,0.003786219,0.0003163328,0.0009339474,0.01249775,0.02697192,0.2816615,0.09311417,0.00729581,0.5668594],"study_design_scores_gemma":[0.0005920096,0.007105304,0.03934198,0.002334052,0.0007343604,0.00759391,0.01501093,0.1350922,0.1622642,0.1881432,0.4410319,0.0007560326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3133433,0.00446935,0.628335,0.002779954,0.0004485668,0.000470885,0.0002099375,0.003088312,0.04685466],"genre_scores_gemma":[0.7208222,0.002795279,0.2670206,0.0007338895,0.0001130298,0.0003610041,0.0001409706,0.0003733567,0.007639699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005803858,"threshold_uncertainty_score":0.0194158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2253995459273455,"score_gpt":0.4007952771884974,"score_spread":0.175395731261152,"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."}}