{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462355,0.0002366995,0.0002379504,0.000840596,0.0004887045,0.0007377146,0.0003126698,0.00007939492,0.00003296833],"category_scores_gemma":[0.00003026182,0.000240357,0.00006189443,0.0005981339,0.00007968811,0.001077259,0.0001684985,0.000307712,0.00001084192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642495,"about_ca_system_score_gemma":0.00003176837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980608,"about_ca_topic_score_gemma":0.0008985381,"domain_scores_codex":[0.998222,0.0002860576,0.0004543565,0.0007151791,0.00009665725,0.0002257444],"domain_scores_gemma":[0.9982045,0.0009660769,0.0001194128,0.000434294,0.0002142328,0.00006146405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002979541,0.001782781,0.004049026,0.00009663186,0.0003869223,0.000002380075,0.003859773,0.02809712,0.001493936,0.2708287,0.0404869,0.6486179],"study_design_scores_gemma":[0.002001402,0.0007930365,0.08758586,0.0002791065,0.00005668177,0.00001735407,0.0001055332,0.7910278,0.004273086,0.02204566,0.09105448,0.0007599519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01192567,0.0000356474,0.9844187,0.001887452,0.0007208734,0.0005827033,0.00002021875,0.0001011365,0.00030758],"genre_scores_gemma":[0.944812,0.00001175944,0.05185295,0.0006432528,0.00009707252,0.0006216163,0.0001065114,0.00001458161,0.001840276],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9328863,"threshold_uncertainty_score":0.9801475,"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."}}