{"id":"W4404496668","doi":"10.2139/ssrn.5026108","title":"Design and Evaluation of Adaptive User Interfaces for Workers with Special Accommodations: Task Allocation and Cognitive Load Reduction","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Task (project management); Reduction (mathematics); Cognitive load; Computer science; Human–computer interaction; Cognition; Psychology; Engineering; Systems 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":[0.003082259,0.0009560293,0.0006506655,0.0005915366,0.000298645,0.001180903,0.001597601,0.001077389,0.003083849],"category_scores_gemma":[0.01328407,0.0005871296,0.0004954998,0.0002676155,0.0003621926,0.0009394532,0.0008670795,0.0005051799,0.000488551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004396696,"about_ca_system_score_gemma":0.0007970865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361869,"about_ca_topic_score_gemma":0.000795188,"domain_scores_codex":[0.9983924,0.0007198096,0.0002499784,0.0002303636,0.0002896,0.0001178725],"domain_scores_gemma":[0.9929988,0.004364353,0.0003739441,0.0004222865,0.001501221,0.0003393235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.04552887,0.0138048,0.01985962,0.004657979,0.0006587224,0.0004538966,0.006062379,0.03078547,0.319124,0.001691167,0.001532194,0.5558409],"study_design_scores_gemma":[0.02023031,0.1602518,0.1198898,0.0005086992,0.00549486,0.001342445,0.003470359,0.3947116,0.2778792,0.002849085,0.01286705,0.0005048541],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90916,0.0002637556,0.08593778,0.00008308055,0.00006331964,0.002705364,0.00009602128,0.0007205821,0.0009700876],"genre_scores_gemma":[0.8866969,0.0001706788,0.1089193,0.0001015051,0.00003235572,0.002413871,0.0001158909,0.0001065677,0.001442822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003083849,"threshold_uncertainty_score":0.01630074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170923540164458,"score_gpt":0.3759236758973961,"score_spread":0.3242144404957515,"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."}}