{"id":"W4415974815","doi":"10.1016/j.procs.2025.09.322","title":"Usability and Frustration in Using Adaptive Functions for Decision Making: A User Study","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Usability; Apprehension; Perception; Web usability; Usability goals; Usability engineering; User experience design","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003390063,0.00009443772,0.0001406594,0.0007327619,0.0003710096,0.0006723536,0.0005081603,0.00002592835,0.000009034236],"category_scores_gemma":[0.0008185356,0.00007518098,0.0000291174,0.002307828,0.0001663144,0.001785444,0.0003189073,0.00006778333,0.000005871969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008615309,"about_ca_system_score_gemma":0.0001987822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001095219,"about_ca_topic_score_gemma":0.0001130366,"domain_scores_codex":[0.9980974,0.00003058958,0.0004565631,0.0005124701,0.0007066494,0.0001963096],"domain_scores_gemma":[0.9985102,0.0006338839,0.0001072761,0.0002492631,0.0004543054,0.00004506273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001153658,0.0003623228,0.6875905,0.000009789735,0.000004420444,9.464011e-7,0.002963839,0.003238312,0.00007482358,0.003976454,0.0008800591,0.3007831],"study_design_scores_gemma":[0.0002740625,0.00008869891,0.5232682,0.00002536671,0.000006547479,6.716108e-7,0.001019753,0.4692878,0.00001093278,0.005731261,0.0002144637,0.00007232145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5548067,0.000005456784,0.4442717,0.00007883256,0.0002575247,0.0004976521,0.000001657629,0.00001272434,0.00006773857],"genre_scores_gemma":[0.9517415,2.901404e-7,0.047973,0.0001492558,0.00002454051,0.00004032477,2.359879e-7,0.000001573235,0.00006934041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4660495,"threshold_uncertainty_score":0.6483521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2808707280003,"score_gpt":0.4776284302839673,"score_spread":0.1967577022836673,"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."}}