{"id":"W4386708043","doi":"10.1145/3604264","title":"PAWS: Personalized Arm and Wrist Movements With Sensitivity Mappings for Controller-Free Locomotion in Virtual Reality","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleportation; Personalization; Computer science; Human–computer interaction; Virtual reality; Controller (irrigation); Sensitivity (control systems); Quantum; 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":[0.000261876,0.0007399417,0.0003666485,0.0002386579,0.0001078877,0.0003638982,0.0009098549,0.0004760263,0.004550892],"category_scores_gemma":[0.001021559,0.0002705857,0.0003542482,0.0001327827,0.0002752589,0.0006368027,0.001084298,0.0003696205,0.0009696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009136871,"about_ca_system_score_gemma":0.0001549066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003988289,"about_ca_topic_score_gemma":0.0006583905,"domain_scores_codex":[0.9997862,0.0000605965,0.00001371059,0.00004323506,0.00006272631,0.00003364052],"domain_scores_gemma":[0.999726,0.0001003944,0.00003247647,0.00007887821,0.00002760577,0.00003455606],"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":[0.001044053,0.0005949638,0.00207142,0.0006175644,0.0001170778,0.0004622116,0.0005540026,0.04038464,0.4939096,0.002075117,0.004335715,0.4538337],"study_design_scores_gemma":[0.0005672275,0.005190501,0.02683384,0.0001227236,0.0002476021,0.003442977,0.0004101307,0.6285236,0.298308,0.004657617,0.03135185,0.0003438332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2276277,0.0002971512,0.7556877,0.0001078608,0.00007522412,0.000176548,0.0002298809,0.01279073,0.003007219],"genre_scores_gemma":[0.7714162,0.0001806457,0.2229171,0.00009429322,0.00002014168,0.0002144487,0.000265736,0.0005055055,0.004385896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004550892,"threshold_uncertainty_score":0.01522428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05608731803806983,"score_gpt":0.3096517790655205,"score_spread":0.2535644610274507,"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."}}