{"id":"W4320495410","doi":"10.3389/frvir.2023.1130864","title":"Comparing cybersickness in virtual reality and mixed reality head-mounted displays","year":2023,"lang":"en","type":"article","venue":"Frontiers in Virtual Reality","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Mixed reality; Virtual reality; Augmented reality; Optical head-mounted display; Computer-mediated reality; Computer graphics (images); Computer science; Human–computer interaction; Head-up display; Graphics; Simulator sickness; Computer graphics; Artificial reality; Head (geology); Computer vision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001124635,0.000380429,0.0002342325,0.0002951397,0.000182503,0.0009071745,0.0004468767,0.0003914122,0.005471068],"category_scores_gemma":[0.009227942,0.0001929039,0.0004866788,0.0002036622,0.0004795472,0.0009247917,0.0009930293,0.0004557588,0.0002743037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003197598,"about_ca_system_score_gemma":0.0002627231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009000769,"about_ca_topic_score_gemma":0.0007810337,"domain_scores_codex":[0.9988523,0.0004764057,0.000121215,0.0001273697,0.0003202523,0.0001024761],"domain_scores_gemma":[0.9935362,0.004199683,0.0009052147,0.0003507096,0.000647416,0.000360735],"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":[0.05726612,0.009214068,0.1085021,0.005578106,0.0009992389,0.0005070548,0.01286912,0.009667865,0.5634814,0.004439652,0.001636401,0.2258389],"study_design_scores_gemma":[0.001901156,0.09849847,0.7858978,0.0003697398,0.001382109,0.0008721697,0.004651749,0.01107555,0.08513337,0.001598556,0.008392995,0.0002263824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964263,0.0001635571,0.002024957,0.00002099647,0.00002077747,0.00007030417,0.0000607845,0.00001792173,0.00119444],"genre_scores_gemma":[0.9961066,0.0001579627,0.002798481,0.00003169581,0.00001600076,0.0001428195,0.0001313414,0.00001127221,0.0006038191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005471068,"threshold_uncertainty_score":0.01830256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639125272157493,"score_gpt":0.3233788889244966,"score_spread":0.2769876362029217,"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."}}