{"id":"W7106817337","doi":"10.1561/1100000106","title":"Survey on User Interface Design and Interactions for Generative AI Applications","year":2025,"lang":"en","type":"article","venue":"Foundations and Trends® in Human–Computer Interaction","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"User interface; Generative grammar; User interface design; Interface (matter); User modeling; User experience design","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":[0.002909145,0.0006812772,0.0009347942,0.00577312,0.0005653484,0.002718136,0.001104994,0.001076349,0.006668335],"category_scores_gemma":[0.009869794,0.0006373409,0.0006414696,0.008519685,0.0006507874,0.004192002,0.0008577229,0.0009687676,0.001736336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009352307,"about_ca_system_score_gemma":0.002111836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238878,"about_ca_topic_score_gemma":0.003333301,"domain_scores_codex":[0.9974397,0.0006232868,0.0004065691,0.0003388276,0.001043789,0.0001478492],"domain_scores_gemma":[0.9865676,0.01010405,0.0004765411,0.0005922533,0.00206066,0.0001988697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008786087,0.0001880609,0.002694774,0.005604877,0.00004159057,0.00004395573,0.000594417,0.0009250939,0.003432478,0.009664692,0.007962087,0.9687602],"study_design_scores_gemma":[0.00004408533,0.0007510608,0.02717422,0.008655379,0.0002140321,0.00130847,0.001815751,0.007349675,0.009920771,0.01772159,0.9249496,0.00009524902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04252848,0.8277463,0.08075206,0.003193927,0.0004114594,0.0002366182,0.0006748828,0.0004854289,0.04397083],"genre_scores_gemma":[0.1093418,0.8098613,0.05959947,0.001590452,0.0005996815,0.0003534903,0.002076592,0.0002534189,0.01632389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006668335,"threshold_uncertainty_score":0.02230781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07904131606368998,"score_gpt":0.3851464176661534,"score_spread":0.3061051016024635,"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."}}