{"id":"W2002894033","doi":"10.1518/155534308x284417","title":"Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs","year":2008,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":672,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Operationalization; Workload; Computer science; Cognitive ergonomics; Situation awareness; Automation; Cognition; Empirical research; Knowledge management; Human–computer interaction; Cognitive science; Psychology; Data science; Human factors and ergonomics; Poison control; Engineering; Epistemology","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":[0.008321534,0.0008710394,0.0006429238,0.00340231,0.001354395,0.006014222,0.001160427,0.00178963,0.002052901],"category_scores_gemma":[0.0385741,0.0005358543,0.0007705479,0.002302857,0.008616977,0.008910899,0.004548186,0.003172882,0.0001385838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425503,"about_ca_system_score_gemma":0.002486644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937252,"about_ca_topic_score_gemma":0.004064546,"domain_scores_codex":[0.9956986,0.00203926,0.0003524759,0.0004714796,0.00114541,0.000292793],"domain_scores_gemma":[0.9439108,0.03977733,0.0088391,0.002007927,0.003421508,0.002043298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004727082,0.001545747,0.314893,0.001222805,0.0004156595,0.0003679027,0.03741805,0.007927871,0.001418726,0.4796425,0.001400247,0.1532748],"study_design_scores_gemma":[0.00008577359,0.0006574501,0.3299613,0.001549888,0.0002937044,0.0004086204,0.02536251,0.03532324,0.001065546,0.6002524,0.004760425,0.0002790537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8921931,0.007784302,0.05479519,0.01460618,0.0001268758,0.0002284831,0.0002642449,0.00005656507,0.02994488],"genre_scores_gemma":[0.9939077,0.0006542836,0.005017,0.0001611137,0.00002714586,0.00008717482,0.00003630108,0.000004511858,0.0001047733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008321534,"threshold_uncertainty_score":0.04400903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626231158913042,"score_gpt":0.3443212428714839,"score_spread":0.3180589312823534,"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."}}