{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005673345,0.0005981791,0.0008713864,0.0009635011,0.0006835391,0.001000274,0.0004811073,0.0006544811,0.001402007],"category_scores_gemma":[0.02430378,0.0004285897,0.000795885,0.0003809865,0.0008692046,0.0008028203,0.00071432,0.0007585261,0.0002527146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726833,"about_ca_system_score_gemma":0.0002701269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000714655,"about_ca_topic_score_gemma":0.0008101198,"domain_scores_codex":[0.9967133,0.00191777,0.0003334798,0.0003181911,0.0004650424,0.0002522313],"domain_scores_gemma":[0.9720688,0.02075214,0.001692143,0.001415372,0.002761517,0.001309941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006565823,0.0229726,0.5700628,0.002612577,0.0008187133,0.002967089,0.2004741,0.00259373,0.04710497,0.0006536078,0.00213978,0.1410342],"study_design_scores_gemma":[0.000602268,0.07594103,0.8291939,0.0002231363,0.0006468754,0.003542235,0.05161702,0.01622239,0.01602161,0.0004307367,0.005118231,0.0004405526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993994,0.00002580994,0.000356075,0.00001103431,0.000002510192,0.00005048212,0.00001289463,0.000008972643,0.0001328494],"genre_scores_gemma":[0.997633,0.0000727369,0.001622124,0.00003835342,0.000008477379,0.000197755,0.00004321276,0.000009860114,0.0003744875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005673345,"threshold_uncertainty_score":0.03000391,"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."}}