{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005876253,0.0004057579,0.0002147413,0.0003532257,0.0001910078,0.000844708,0.0004789958,0.0003774896,0.001835684],"category_scores_gemma":[0.001503692,0.0001864299,0.0003633921,0.0002149449,0.0003610658,0.0006222884,0.001091067,0.0003260265,0.0002271898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141482,"about_ca_system_score_gemma":0.0001839206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005009329,"about_ca_topic_score_gemma":0.0005630752,"domain_scores_codex":[0.9997134,0.00007695075,0.0000161014,0.0000565823,0.00009930549,0.00003776137],"domain_scores_gemma":[0.9994259,0.0001944721,0.00006916696,0.00004635013,0.0002044018,0.00005960483],"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":[0.0003404577,0.00008298441,0.002643939,0.0001653666,0.00001930289,0.00006310906,0.0007360629,0.0001748875,0.9777899,0.0001556669,0.00005230627,0.01777604],"study_design_scores_gemma":[0.00003651105,0.00467588,0.1426941,0.00009144924,0.0002338345,0.001236092,0.00285828,0.009506252,0.8355553,0.0004074919,0.002599596,0.0001051054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383795,0.0004507334,0.05969388,0.00004094943,0.00002317359,0.00008515814,0.0001117007,0.0001047066,0.001110164],"genre_scores_gemma":[0.9711285,0.0003670803,0.02712166,0.00002783704,0.00001355347,0.00006234925,0.00008661431,0.0000238153,0.001168599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001835684,"threshold_uncertainty_score":0.006140947,"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."}}