{"id":"https://openalex.org/W7163715795","doi":"https://doi.org/10.48550/arxiv.2606.05697","title":"PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation","display_name":"PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163715795","doi":"https://doi.org/10.48550/arxiv.2606.05697"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05697","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.05697","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137946626","display_name":"Nicolas Bougie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bougie, Nicolas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003931556","display_name":"Xiaotong Ye","orcid":"https://orcid.org/0000-0003-2934-4256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Xiaotong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019802757","display_name":"Gian Maria Marconi","orcid":"https://orcid.org/0000-0001-9140-3515"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marconi, Gian Maria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137930894","display_name":"Narimasa Watanabe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Watanabe, Narimasa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14074","display_name":"Persona Design and Applications","score":0.7289999723434448,"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/T14074","display_name":"Persona Design and Applications","score":0.7289999723434448,"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/T12128","display_name":"AI in Service Interactions","score":0.0729999989271164,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.01360000018030405,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/reflection","display_name":"Reflection (computer programming)","score":0.548799991607666},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.429500013589859},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.39320001006126404},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.3880000114440918},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.3515999913215637},{"id":"https://openalex.org/keywords/human-language","display_name":"Human language","score":0.2946999967098236},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.29409998655319214},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.2906000018119812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690500020980835},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.548799991607666},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5289000272750854},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.429500013589859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4207000136375427},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.39320001006126404},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3515999913215637},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3068999946117401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30559998750686646},{"id":"https://openalex.org/C2993724205","wikidata":"https://www.wikidata.org/wiki/Q315","display_name":"Human language","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28619998693466187},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.2522999942302704},{"id":"https://openalex.org/C2986913963","wikidata":"https://www.wikidata.org/wiki/Q843894","display_name":"Critical reflection","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05697","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.05697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05697","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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"User":[0],"interface":[1],"(UI)":[2],"and":[3,31,92,115,130,140,142],"user":[4,87],"experience":[5],"(UX)":[6],"evaluation":[7,81],"is":[8,97],"central":[9],"to":[10,137],"product":[11],"development,":[12],"yet":[13],"reliable":[14],"feedback":[15],"still":[16],"relies":[17],"on":[18],"recruiting":[19],"human":[20,113],"participants":[21],"or":[22,55],"running":[23],"online":[24],"A/B":[25],"tests,":[26],"making":[27],"early-stage":[28],"iteration":[29],"slow":[30],"costly.":[32],"In":[33],"light":[34],"of":[35,69],"this,":[36],"recent":[37],"work":[38],"has":[39],"explored":[40],"Multimodal":[41],"Large":[42],"Language":[43],"Models":[44],"as":[45],"proxy":[46],"evaluators.":[47],"However,":[48],"existing":[49],"approaches":[50],"either":[51],"produce":[52],"surface-level":[53],"critiques":[54],"a":[56,70,76,85,117],"judgment":[57],"that":[58,82],"reflects":[59],"the":[60,66,122],"model's":[61,123],"own":[62,124],"biases":[63],"rather":[64],"than":[65],"genuine":[67],"response":[68,145],"particular":[71],"user.":[72],"We":[73],"introduce":[74],"PerceptUI,":[75],"framework":[77],"for":[78],"persona-conditioned":[79],"UI/UX":[80],"predicts":[83],"how":[84],"specific":[86],"would":[88],"answer":[89],"interface-related":[90],"questions":[91,139],"produces":[93],"natural-language":[94],"rationales.":[95],"PerceptUI":[96,132],"trained":[98],"in":[99],"two":[100],"stages:":[101],"(i)":[102],"contrastive":[103],"reflection":[104],"fine-tuning":[105],"distills":[106],"teacher-generated":[107],"rationales":[108],"by":[109],"extracting":[110],"lessons":[111],"from":[112,121],"decisions,":[114],"(ii)":[116],"reflective":[118],"prompt-evolution":[119],"step":[120],"failure":[125],"traces.":[126],"Across":[127],"multiple":[128],"domains":[129],"datasets,":[131],"achieves":[133],"human-level":[134],"realism,":[135],"generalizes":[136],"unseen":[138],"personas,":[141],"yields":[143],"population-level":[144],"distributions.":[146]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-06T00:00:00"}
