{"id":"W4296782716","doi":"10.1145/3546747","title":"OneButtonPIN: A Single Button Authentication Method for Blind or Low Vision Users to Improve Accessibility and Prevent Eavesdropping","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Eavesdropping; Computer security; Usability; Authentication (law); Biometrics; Computer science; Identification (biology); Resilience (materials science); Human–computer interaction; Internet privacy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004311493,0.0008533209,0.0004017437,0.0005399588,0.0003125166,0.0005971839,0.0009883025,0.00095298,0.01638492],"category_scores_gemma":[0.001865322,0.000251926,0.0003224894,0.0001869083,0.000330346,0.001508927,0.001496192,0.00041327,0.002550038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011745,"about_ca_system_score_gemma":0.0002241055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003693399,"about_ca_topic_score_gemma":0.0004441839,"domain_scores_codex":[0.9996879,0.00006894034,0.00002205055,0.00006926311,0.0001104687,0.00004134391],"domain_scores_gemma":[0.9991624,0.0003161947,0.0001118954,0.0001274214,0.0001702205,0.0001119688],"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":[0.003680581,0.0005374878,0.00353344,0.002183773,0.00008847941,0.001318399,0.001231368,0.0004328464,0.4651387,0.001807163,0.01452595,0.5055218],"study_design_scores_gemma":[0.001117463,0.02306689,0.08126405,0.001356586,0.0008444236,0.02628934,0.002193282,0.04636789,0.6372194,0.0040328,0.1753794,0.000868433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5935712,0.005378946,0.35521,0.001009131,0.0009951292,0.001995949,0.0008371944,0.0192105,0.02179186],"genre_scores_gemma":[0.8849752,0.001167162,0.08794353,0.0006411619,0.0000837102,0.0004987405,0.0003734343,0.0003328239,0.02398436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01638492,"threshold_uncertainty_score":0.05481303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0629865327676167,"score_gpt":0.3766288507812726,"score_spread":0.3136423180136559,"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."}}