{"id":"W4387654734","doi":"10.1007/s41233-023-00062-7","title":"Towards instrumental quality assessment of multisensory immersive experiences using a biosensor-equipped head-mounted display","year":2023,"lang":"en","type":"article","venue":"Quality and User Experience","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Haptic technology; Quality of experience; Computer science; Wearable computer; Virtual reality; Human–computer interaction; Popularity; Immersion (mathematics); Multimedia; Psychology; Artificial intelligence; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005258678,0.0003017574,0.0005415992,0.0001535367,0.0006754246,0.00006972707,0.0002399887,0.0001068499,0.0000940709],"category_scores_gemma":[0.0006201137,0.0002643289,0.0001355157,0.0007067763,0.001208872,0.0005886161,0.000257116,0.0001897483,0.00001176538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008107018,"about_ca_system_score_gemma":0.00007985938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003126802,"about_ca_topic_score_gemma":0.0000153047,"domain_scores_codex":[0.9964531,0.0007573612,0.0007941454,0.0008043029,0.0007095373,0.0004815343],"domain_scores_gemma":[0.9985036,0.0004956432,0.0003604466,0.000384936,0.00008892691,0.0001664825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001777609,0.0001570998,0.02649486,0.00009091212,0.00001890386,0.00001757199,0.06917371,0.00004644284,0.8969634,0.006424708,0.00001287051,0.0004217708],"study_design_scores_gemma":[0.001094575,0.0002009958,0.2224195,0.00006325632,0.00001403275,0.00001730099,0.3177777,0.002989803,0.454012,0.00008914238,0.0007491068,0.0005726134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978082,0.0000304096,0.0002727591,0.0001738755,0.0007226671,0.0002990832,0.00009829496,0.0001148064,0.0004799042],"genre_scores_gemma":[0.9989601,0.0000859213,0.0002419699,0.0003762809,0.00004521831,0.00005769556,0.000004992793,0.00001493938,0.0002128659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4429514,"threshold_uncertainty_score":0.9999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4007383371329569,"score_gpt":0.4758193778660326,"score_spread":0.07508104073307564,"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."}}