{"id":"W4385977576","doi":"10.1109/thms.2023.3298309","title":"Gamification of Driver Distraction Feedback: A Simulator Study With Younger Drivers","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Human-Machine Systems","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Toyota Collaborative Safety Research Center","keywords":"Distraction; Driving simulator; SAFER; Simulation; Human–computer interaction; Computer science; Distracted driving; Visual feedback; Video feedback; Psychology; Cognitive psychology; Computer security; Artificial intelligence","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":[0.003035957,0.0009223185,0.0009135568,0.0007087607,0.0005666996,0.000729922,0.0008061942,0.0008904634,0.001562138],"category_scores_gemma":[0.005125577,0.0004300736,0.000886067,0.0002131313,0.0004709615,0.0007149476,0.0006381494,0.0008240584,0.0004474355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004865373,"about_ca_system_score_gemma":0.000823052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004356965,"about_ca_topic_score_gemma":0.004662095,"domain_scores_codex":[0.9991417,0.0003369865,0.00006059105,0.0001275803,0.0001490523,0.0001840951],"domain_scores_gemma":[0.9978257,0.0009139427,0.0001878894,0.0001631317,0.0003835335,0.0005257321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01709318,0.4550812,0.2087696,0.001430543,0.0008766855,0.003066041,0.08835758,0.003573414,0.06069247,0.0005848283,0.001288642,0.1591858],"study_design_scores_gemma":[0.006293797,0.5824974,0.3472611,0.0001451487,0.0008938553,0.00129574,0.02501011,0.00969418,0.01874639,0.0007550339,0.007145229,0.0002620579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999709,0.00001364587,0.0001020055,0.000008434628,0.000001450601,0.00009087663,0.00001162987,0.000002156683,0.00006075592],"genre_scores_gemma":[0.9961587,0.0001586812,0.002037411,0.00006078747,0.00001273636,0.0005512015,0.00008591994,0.00000570161,0.0009289544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004356965,"threshold_uncertainty_score":0.01605588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454609942191945,"score_gpt":0.3688490174998084,"score_spread":0.3233880232806139,"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."}}