{"id":"W4290960195","doi":"10.1016/j.apergo.2022.103867","title":"Distracted worker: Using pupil size and blink rate to detect cognitive load during manufacturing tasks","year":2022,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Cognitive load; Cognition; Task (project management); Pupil size; Eye tracking; Cognitive psychology; Computer science; Human factors and ergonomics; Automotive industry; Psychology; Poison control; Simulation; Pupil; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003388691,0.0003973613,0.0002754684,0.0004050146,0.0002155008,0.000560719,0.0002553154,0.0005579843,0.001278776],"category_scores_gemma":[0.002406582,0.0002904792,0.0001343609,0.0002469499,0.0002417589,0.0003745158,0.0003801584,0.0004042768,0.0004074746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001669698,"about_ca_system_score_gemma":0.0002901232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00289882,"about_ca_topic_score_gemma":0.004187942,"domain_scores_codex":[0.9997956,0.00003817857,0.00001720518,0.00006615993,0.00006017127,0.00002277184],"domain_scores_gemma":[0.9989892,0.0004318434,0.0002254417,0.00005972391,0.0001429213,0.0001509469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01403585,0.0009308138,0.3127768,0.0005404633,0.0002340799,0.0007944895,0.003619895,0.001164184,0.5682677,0.0001178763,0.0006794822,0.09683828],"study_design_scores_gemma":[0.0001445618,0.001949444,0.9676894,0.00003983078,0.0001031189,0.001006649,0.0007439391,0.004967956,0.02271976,0.00012479,0.0004672284,0.0000433218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969233,0.0002710411,0.002255584,0.00003206794,0.00001325414,0.00001912213,0.00009856826,0.00003269148,0.0003543801],"genre_scores_gemma":[0.9967723,0.0001972096,0.002160326,0.00006208441,0.00001475406,0.00003168399,0.0001082902,0.00001309342,0.0006402142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00289882,"threshold_uncertainty_score":0.005763888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014100567581118,"score_gpt":0.2973449799592452,"score_spread":0.2772039742834341,"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."}}