{"id":"W4405697344","doi":"10.3390/app142411975","title":"Workload Assessment of Operators: Correlation Between NASA-TLX and Pupillary Responses","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Workload; Pupil diameter; Pupillary response; Pupillometry; Eye tracking; Task (project management); Psychology; Audiology; Pupil; Correlation; Pupil size; Ophthalmology; Medicine; Computer science; Artificial intelligence; Mathematics; 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":[0.001121812,0.0003514736,0.0002511083,0.0004769681,0.0001462637,0.0004539015,0.0001775231,0.0003964803,0.001241135],"category_scores_gemma":[0.005500704,0.0001377169,0.0001787034,0.0001969075,0.000217862,0.0003066001,0.000512316,0.0002840163,0.0002798572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009656705,"about_ca_system_score_gemma":0.0001236713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003600465,"about_ca_topic_score_gemma":0.0003891139,"domain_scores_codex":[0.9990438,0.0002549471,0.0001315815,0.0001701844,0.0003207958,0.0000786624],"domain_scores_gemma":[0.9948869,0.001397354,0.002340407,0.000218047,0.0006288915,0.0005283313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001388654,0.0004191526,0.8743615,0.0003085579,0.0002183042,0.0003582372,0.001953228,0.0008117895,0.08338753,0.00006098847,0.0004157526,0.03631626],"study_design_scores_gemma":[0.000007003786,0.0009803583,0.9958951,0.0000140118,0.00001376492,0.0002515076,0.0003505948,0.0005510641,0.001667064,0.00003858185,0.0002168329,0.00001409212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970803,0.0001917481,0.002002788,0.00003075366,0.00001143788,0.00002319195,0.00008148259,0.00001980231,0.0005584789],"genre_scores_gemma":[0.9986067,0.0001138343,0.0008059395,0.00002555081,0.00002300932,0.00003440195,0.000135096,0.000005239055,0.0002501768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001241135,"threshold_uncertainty_score":0.005932808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805371780140312,"score_gpt":0.4206668368822363,"score_spread":0.3726131190808332,"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."}}