{"id":"W4225109875","doi":"10.1145/3491101.3504030","title":"Computational Approaches for Understanding, Generating, and Adapting User Interfaces","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Human–computer interaction; User interface; User interface design; Domain (mathematical analysis); Modalities; Task (project management); Interface (matter); Post-WIMP; Natural user interface; Automation; User experience design; Semantics (computer science); Data science","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":[0.002958994,0.001143187,0.000867523,0.001833994,0.001147344,0.006870419,0.00356152,0.00286716,0.005199525],"category_scores_gemma":[0.0125412,0.001552239,0.002095684,0.001369321,0.005359144,0.007274655,0.003394887,0.003027798,0.0009606389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002623861,"about_ca_system_score_gemma":0.002106691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00765257,"about_ca_topic_score_gemma":0.005834321,"domain_scores_codex":[0.9967114,0.001246029,0.0003082673,0.0007491774,0.0008089241,0.0001762505],"domain_scores_gemma":[0.9944233,0.003822573,0.0003235609,0.0008762737,0.0004649394,0.00008944565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005439969,0.000111513,0.001157137,0.0004841982,0.0001290079,0.0001529196,0.001766913,0.2854639,0.004071692,0.5972149,0.002683849,0.1067095],"study_design_scores_gemma":[0.00001912418,0.00003627031,0.0004510688,0.00008117322,0.00004506644,0.0001095836,0.0003902428,0.6243362,0.001946025,0.3576438,0.01488633,0.0000550556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004670418,0.0005614776,0.9866536,0.00103987,0.00003990906,0.0001018766,0.00009556736,0.0004171449,0.006420032],"genre_scores_gemma":[0.2071411,0.001523806,0.7853617,0.0003909697,0.00008211734,0.0005769535,0.0003703788,0.000265578,0.004287348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00765257,"threshold_uncertainty_score":0.01903749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3300195516627227,"score_gpt":0.3501695269123303,"score_spread":0.02014997524960754,"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."}}