{"id":"W4405098535","doi":"10.22215/etd/2024-16344","title":"Opacity in Car Augmented Reality Head-up Displays: Users’ Preferences, Visual Attention, and Situation Awareness","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Strong","keywords":"Opacity; Augmented reality; Distraction; Head-up display; Set (abstract data type); Computer science; Psychology; Computer vision; Cognitive psychology","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":[0.0007836807,0.0002294183,0.0001674443,0.0002895322,0.0002190445,0.0009331457,0.0001930679,0.0002982719,0.002501058],"category_scores_gemma":[0.007798167,0.0001871071,0.0002809929,0.0001441598,0.0002525691,0.0006622984,0.0005815241,0.0002571461,0.000210702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002149462,"about_ca_system_score_gemma":0.0001039514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506267,"about_ca_topic_score_gemma":0.001613558,"domain_scores_codex":[0.9994429,0.0002031292,0.00003968016,0.00006774018,0.0001735434,0.00007300283],"domain_scores_gemma":[0.9964246,0.002393383,0.0004340585,0.0001347233,0.0004076513,0.0002055402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006364363,0.0009722757,0.4120275,0.001225203,0.0003874952,0.001325369,0.06381252,0.001599774,0.3137531,0.0009628317,0.001756731,0.1958129],"study_design_scores_gemma":[0.0001201451,0.00246683,0.94564,0.0001475563,0.000321131,0.001836529,0.02325142,0.003548454,0.01655387,0.0006083177,0.005382639,0.0001231281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971125,0.0001564162,0.00110263,0.00003219189,0.000004634529,0.00001382368,0.00001657582,0.00001361339,0.001547489],"genre_scores_gemma":[0.9987262,0.0001034182,0.0006557355,0.00002811598,0.000005335748,0.00001160734,0.00002389475,0.000005263074,0.0004404949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002501058,"threshold_uncertainty_score":0.008366942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06166133070823575,"score_gpt":0.4351696679376204,"score_spread":0.3735083372293846,"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."}}