{"id":"W4297248855","doi":"10.2196/36397","title":"A New Approach for Reducing Virtual Reality Sickness in Real Time: Design and Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Korea University of Technology and Education; Korea University; National Research Foundation","keywords":"Virtual reality; Simulator sickness; Motion sickness; Computer science; Optical head-mounted display; Human–computer interaction; Reduction (mathematics); Simulation; Multimedia; Computer vision; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001109514,0.0001266595,0.0001999471,0.0001230992,0.0002418575,0.0001758992,0.0004561262,0.00003232757,0.00001019252],"category_scores_gemma":[0.00004169216,0.0001312593,0.00002477832,0.0005221202,0.00001895528,0.0003378034,0.0003098141,0.0001171458,0.000002828766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204475,"about_ca_system_score_gemma":0.0001859714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007422935,"about_ca_topic_score_gemma":0.000008236182,"domain_scores_codex":[0.9984636,0.0002842379,0.0002575582,0.0005065284,0.0002459588,0.0002421309],"domain_scores_gemma":[0.999104,0.000143273,0.0001065312,0.000509295,0.00003127121,0.0001056517],"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":[0.0003291117,0.001963988,0.0003648807,0.0000460951,0.00005654709,0.000008076047,0.03590279,0.05949941,0.00947069,0.01410251,0.01551223,0.8627437],"study_design_scores_gemma":[0.004729455,0.005019624,0.05021836,0.00002126482,0.00004098153,0.00007813467,0.004889459,0.9200947,0.001587978,0.007112484,0.005174108,0.001033434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3155918,0.00001351489,0.6808736,0.0004518544,0.00004545915,0.002451405,0.000008394724,0.000127796,0.0004362217],"genre_scores_gemma":[0.9606809,0.000006480054,0.03717541,0.00005227517,0.00004270843,0.001203534,0.00002434224,0.00001438267,0.0007999586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8617103,"threshold_uncertainty_score":0.5352598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04426463000162072,"score_gpt":0.317437321573834,"score_spread":0.2731726915722132,"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."}}