{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002445772,0.000678399,0.0005163981,0.0008418274,0.0002038767,0.0004086424,0.0008224424,0.000558736,0.002043832],"category_scores_gemma":[0.002228284,0.0002667939,0.0006927496,0.0002188814,0.0005178037,0.0003498906,0.0004815761,0.0003655496,0.0002406596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455064,"about_ca_system_score_gemma":0.0006246492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008137147,"about_ca_topic_score_gemma":0.000824787,"domain_scores_codex":[0.9988539,0.000451588,0.00009307428,0.000137838,0.0003865605,0.00007705804],"domain_scores_gemma":[0.9987987,0.0004294869,0.0001148801,0.0001276786,0.0004098774,0.0001194007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007980698,0.02147588,0.01730249,0.00556149,0.0005618093,0.0003311921,0.002404691,0.01269046,0.4280762,0.0030524,0.001244318,0.4993185],"study_design_scores_gemma":[0.00729459,0.4551945,0.1195204,0.0005490535,0.003394413,0.0015212,0.002239086,0.1150365,0.2646462,0.001458936,0.02870982,0.0004352584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.788668,0.0009396846,0.2015249,0.0001337838,0.000149532,0.00551811,0.0001342735,0.0002675933,0.002664159],"genre_scores_gemma":[0.7529319,0.0009215564,0.2378325,0.0001168613,0.00003832901,0.005089099,0.0001221748,0.000033264,0.002914329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002445772,"threshold_uncertainty_score":0.01293463,"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."}}