{"id":"W4384282898","doi":"10.3389/fnrgo.2023.1189179","title":"Quantifying time perception during virtual reality gameplay using a multimodal biosensor-instrumented headset: a feasibility study","year":2023,"lang":"en","type":"article","venue":"Frontiers in Neuroergonomics","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Headset; Virtual reality; Computer science; Perception; Human–computer interaction; Modalities; Electroencephalography; Task (project management); Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001377262,0.0005953696,0.0004905746,0.0003708514,0.0001893677,0.0005539382,0.0006407169,0.0006909618,0.001121518],"category_scores_gemma":[0.002958598,0.0002169543,0.0003866207,0.0001666056,0.000474386,0.0005540348,0.0005835178,0.00030191,0.0002675024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378062,"about_ca_system_score_gemma":0.0002253495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000731935,"about_ca_topic_score_gemma":0.0008578394,"domain_scores_codex":[0.9990735,0.0004846498,0.00006473908,0.0001324585,0.0001528656,0.00009169271],"domain_scores_gemma":[0.9985263,0.0007557208,0.0001004708,0.00008873743,0.0003492742,0.0001795071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005307363,0.006823159,0.09709402,0.001520696,0.0002553284,0.002514438,0.006243246,0.003009913,0.7523388,0.0005225561,0.0005433547,0.1238271],"study_design_scores_gemma":[0.001123091,0.2120384,0.5234123,0.0001925062,0.0009231975,0.008453256,0.01028565,0.04100327,0.1964366,0.0006186191,0.005154714,0.0003584803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829103,0.00008639428,0.0160918,0.00004411031,0.00001415085,0.0003751022,0.00009178784,0.00004040654,0.0003458948],"genre_scores_gemma":[0.981495,0.0001406352,0.01732061,0.00004997147,0.0000247025,0.0004156852,0.00009073586,0.00000933181,0.0004532352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001377262,"threshold_uncertainty_score":0.007283807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09651314315850198,"score_gpt":0.3316149782656503,"score_spread":0.2351018351071483,"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."}}