{"id":"https://openalex.org/W4415252568","doi":"https://doi.org/10.1145/3772318.3791567","title":"Improving User Interface Generation Models from Designer Feedback","display_name":"Improving User Interface Generation Models from Designer Feedback","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W4415252568","doi":"https://doi.org/10.1145/3772318.3791567"},"language":"en","primary_location":{"id":"doi:10.1145/3772318.3791567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3772318.3791567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.16779","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076580255","display_name":"Jason Wu","orcid":"https://orcid.org/0000-0001-5101-0557"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jason Wu","raw_affiliation_strings":["Department of Computer Science, Purdue University, West Lafayette, Indiana, USA and Apple, Seattle, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0001-5101-0557","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, Indiana, USA and Apple, Seattle, Washington, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085693746","display_name":"Amanda Swearngin","orcid":"https://orcid.org/0000-0003-2468-6337"},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amanda Swearngin","raw_affiliation_strings":["Apple, Seattle, Washington, USA"],"raw_orcid":"https://orcid.org/0009-0003-0935-4745","affiliations":[{"raw_affiliation_string":"Apple, Seattle, Washington, USA","institution_ids":["https://openalex.org/I4210153776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093461014","display_name":"Arun Krishna Vajjala","orcid":"https://orcid.org/0009-0002-5593-1438"},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arun Krishnavajjala","raw_affiliation_strings":["Apple, Seattle, Washington, USA"],"raw_orcid":"https://orcid.org/0009-0002-5593-1438","affiliations":[{"raw_affiliation_string":"Apple, Seattle, Washington, USA","institution_ids":["https://openalex.org/I4210153776"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Alan Leung","orcid":"https://orcid.org/0009-0009-9794-9450"},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan Leung","raw_affiliation_strings":["Apple, Seattle, Washington, USA"],"raw_orcid":"https://orcid.org/0009-0009-9794-9450","affiliations":[{"raw_affiliation_string":"Apple, Seattle, Washington, USA","institution_ids":["https://openalex.org/I4210153776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081566660","display_name":"Jeffrey Nichols","orcid":"https://orcid.org/0000-0002-6880-8546"},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Nichols","raw_affiliation_strings":["Apple, Seattle, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-6880-8546","affiliations":[{"raw_affiliation_string":"Apple, Seattle, Washington, USA","institution_ids":["https://openalex.org/I4210153776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060033622","display_name":"Titus Barik","orcid":"https://orcid.org/0000-0002-4877-0739"},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Titus Barik","raw_affiliation_strings":["Apple, Seattle, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-4877-0739","affiliations":[{"raw_affiliation_string":"Apple, Seattle, Washington, USA","institution_ids":["https://openalex.org/I4210153776"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076580255"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00267517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10470","display_name":"Usability and User Interface Design","score":0.8744999766349792,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10470","display_name":"Usability and User Interface Design","score":0.8744999766349792,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14074","display_name":"Persona Design and Applications","score":0.8460999727249146,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10803","display_name":"Innovative Human-Technology Interaction","score":0.7766000032424927,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6359999775886536},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5472000241279602},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5393999814987183},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.383899986743927},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.3781999945640564},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.3546999990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524999737739563},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6359999775886536},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5759000182151794},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5393999814987183},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3546999990940094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.336899995803833},{"id":"https://openalex.org/C138852830","wikidata":"https://www.wikidata.org/wiki/Q2292993","display_name":"Design methods","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.25459998846054077},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.25360000133514404}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3772318.3791567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3772318.3791567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.16779","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.16779","pdf_url":"https://arxiv.org/pdf/2509.16779","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2509.16779","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2509.16779","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.16779","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.16779","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.16779","pdf_url":"https://arxiv.org/pdf/2509.16779","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"being":[1],"trained":[2,138],"on":[3,24,35],"vast":[4],"amounts":[5],"of":[6,114],"data,":[7],"most":[8],"LLMs":[9,115],"are":[10,39],"unable":[11],"to":[12,21,52,67,70,110,116],"reliably":[13],"generate":[14,117],"well-designed":[15],"UIs.":[16,120],"Designer":[17],"feedback":[18,69,95,142],"is":[19],"essential":[20],"improving":[22],"performance":[23],"UI":[25,56,71],"generation;":[26],"however,":[27],"we":[28,61,122,130],"find":[29,131],"that":[30,132],"existing":[31],"RLHF":[32],"methods":[33],"based":[34],"ratings":[36],"or":[37],"rankings":[38],"not":[40],"well-aligned":[41],"with":[42,43,89,126,139],"designers'":[44],"workflows":[45],"and":[46,54,81,129,143],"ignore":[47],"the":[48],"rich":[49],"rationale":[50],"used":[51],"critique":[53],"improve":[55],"designs.":[57],"In":[58],"this":[59,108],"paper,":[60],"investigate":[62],"several":[63],"approaches":[64,135],"for":[65],"designers":[66,91],"give":[68],"generation":[72],"models,":[73],"using":[74,96],"familiar":[75],"interactions":[76],"such":[77],"as":[78],"commenting,":[79],"sketching":[80],"direct":[82],"manipulation.":[83],"We":[84,105],"first":[85],"perform":[86],"an":[87],"evaluation":[88],"21":[90],"where":[92],"they":[93],"gave":[94],"these":[97,124],"interactions,":[98],"which":[99],"resulted":[100],"in":[101],"1500":[102],"design":[103],"annotations.":[104],"then":[106],"use":[107],"data":[109],"finetune":[111],"a":[112],"series":[113],"higher":[118],"quality":[119],"Finally,":[121],"evaluate":[123],"models":[125,137],"human":[127],"judges,":[128],"our":[133],"designer-aligned":[134],"outperform":[136],"traditional":[140],"ranking":[141],"all":[144],"tested":[145],"baselines,":[146],"including":[147],"GPT-5.":[148]},"counts_by_year":[],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-16T00:00:00"}