{"id":"W4390291105","doi":"10.1016/j.apergo.2023.104213","title":"The effects of Augmented Reality on operator Situation Awareness and Head-Down Time","year":2023,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Norges Forskningsråd","keywords":"Augmented reality; Simulation; Operator (biology); Computer science; Head (geology); Aeronautics; Human–computer interaction; Engineering","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":[0.002095366,0.0004985397,0.0003034258,0.0004371014,0.000343944,0.001076575,0.0003504324,0.000433283,0.002646381],"category_scores_gemma":[0.01585174,0.0002731021,0.0005351545,0.0002360915,0.000651928,0.0006016811,0.001083647,0.0003973282,0.0002447671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812645,"about_ca_system_score_gemma":0.0004350303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142858,"about_ca_topic_score_gemma":0.001441994,"domain_scores_codex":[0.9972538,0.001378801,0.000183998,0.0003165441,0.0006515587,0.0002152058],"domain_scores_gemma":[0.9793026,0.01510452,0.00218164,0.001012152,0.001632419,0.000766722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01703791,0.007670846,0.2151675,0.002295226,0.000676781,0.001008864,0.06165626,0.008047737,0.2816751,0.00078008,0.0009988443,0.4029849],"study_design_scores_gemma":[0.0003427312,0.0505475,0.8836617,0.0002192994,0.000578162,0.0008912813,0.01925046,0.007148773,0.03292806,0.0004571645,0.00366901,0.0003058477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979539,0.00005941383,0.001049047,0.00002118108,0.000007498856,0.00002988877,0.00001816372,0.00002437716,0.0008364985],"genre_scores_gemma":[0.9972336,0.00007608984,0.002191778,0.00001956465,0.000008679508,0.00005770564,0.0000294458,0.000006853404,0.0003762705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002646381,"threshold_uncertainty_score":0.01108152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999277647464848,"score_gpt":0.336059797043222,"score_spread":0.3160670205685735,"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."}}