{"id":"W3124751734","doi":"10.1145/3428121","title":"Fast and Secure Authentication in Virtual Reality Using Coordinated 3D Manipulation and Pointing","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Computer-Human Interaction","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ludwig-Maximilians-Universität München; University of Glasgow; Engineering and Physical Sciences Research Council; Royal Society of Edinburgh; Erasmus+; McGill University","keywords":"Password; Computer science; Usability; USable; Authentication (law); Human–computer interaction; Gaze; Computer security; Virtual reality; Challenge–response authentication; Authentication protocol; Artificial intelligence; Multimedia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002512685,0.0009175993,0.0006887692,0.000655407,0.0007497258,0.001890177,0.0012355,0.001246532,0.003832638],"category_scores_gemma":[0.01206628,0.0004954875,0.0008725854,0.000420118,0.001895329,0.003403861,0.004080072,0.001266215,0.001269935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495738,"about_ca_system_score_gemma":0.0005223008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124917,"about_ca_topic_score_gemma":0.000852178,"domain_scores_codex":[0.9958348,0.001810754,0.0003081845,0.0004447597,0.001205864,0.0003955287],"domain_scores_gemma":[0.9897131,0.003873525,0.001276367,0.004079838,0.0007175175,0.0003396721],"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":[0.002810323,0.0004236051,0.01064572,0.00147352,0.0002675828,0.001242021,0.006949552,0.04275247,0.5084792,0.03679299,0.003959311,0.3842037],"study_design_scores_gemma":[0.0005283588,0.01193022,0.0382297,0.001021364,0.0004240549,0.01221242,0.003670598,0.3950379,0.442219,0.03218922,0.06127226,0.00126491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2991787,0.001063445,0.6879869,0.0004603599,0.0001408093,0.0003656999,0.0001052858,0.004247887,0.006450901],"genre_scores_gemma":[0.9192917,0.000341122,0.07868862,0.00009515734,0.00001905604,0.0000805692,0.00006327919,0.00007042554,0.001349982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003832638,"threshold_uncertainty_score":0.0132885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560728426598929,"score_gpt":0.3101367479006215,"score_spread":0.2645294636346322,"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."}}