{"id":"https://openalex.org/W7161741302","doi":"https://doi.org/10.48550/arxiv.2605.18302","title":"What Would GPT Click: Practical Effects of Human-AI Behavioral Misalignment and the Cost of Synthetic Participants in User Experience","display_name":"What Would GPT Click: Practical Effects of Human-AI Behavioral Misalignment and the Cost of Synthetic Participants in User Experience","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161741302","doi":"https://doi.org/10.48550/arxiv.2605.18302"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.18302","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18302","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.18302","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035185255","display_name":"Eduard Kuric","orcid":"https://orcid.org/0000-0002-7371-5512"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuric, Eduard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021257911","display_name":"Peter Demcak","orcid":"https://orcid.org/0000-0002-4111-1052"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Demcak, Peter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5093214269","display_name":"Matus Krajcovic","orcid":"https://orcid.org/0000-0001-9030-7337"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krajcovic, Matus","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":0.18219999969005585,"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":0.18219999969005585,"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":0.1152999997138977,"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.10199999809265137,"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/heuristics","display_name":"Heuristics","score":0.6730999946594238},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6389999985694885},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.4456000030040741},{"id":"https://openalex.org/keywords/experience-sampling-method","display_name":"Experience sampling method","score":0.4016000032424927},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3935000002384186},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.37940001487731934},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3716999888420105},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.3587000072002411},{"id":"https://openalex.org/keywords/data-exploration","display_name":"Data exploration","score":0.35120001435279846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877999901771545},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6730999946594238},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6389999985694885},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.508400022983551},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.4456000030040741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4366999864578247},{"id":"https://openalex.org/C65499552","wikidata":"https://www.wikidata.org/wiki/Q5421061","display_name":"Experience sampling method","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3675000071525574},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.35120001435279846},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3352000117301941},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2903999984264374},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2750000059604645},{"id":"https://openalex.org/C2780565519","wikidata":"https://www.wikidata.org/wiki/Q1208937","display_name":"Multitude","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.26489999890327454},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.26179999113082886},{"id":"https://openalex.org/C101097943","wikidata":"https://www.wikidata.org/wiki/Q5176983","display_name":"Counterintuitive","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.18302","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18302","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.18302","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18302","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"Synthetic":[0],"participants":[1],"represent":[2],"a":[3,175,190],"methodologically":[4],"concerning":[5],"concept":[6],"that":[7,76,183],"threatens":[8],"the":[9,25,67,73,106,139,149,204],"integrity":[10],"of":[11,29,69,72,108,132,177,215],"UX":[12,102],"research.":[13],"Findings":[14],"from":[15,100,127,170],"previous":[16],"experiments":[17],"specify":[18],"how":[19,116],"AI":[20],"outputs":[21],"are":[22],"misaligned":[23],"with":[24,78,194],"behaviors":[26],"and":[27,55,81,115,148,159,213],"thoughts":[28],"real":[30,88,101,128,195],"humans":[31,113],"in":[32,130,141,157,180],"various":[33],"ways.":[34],"However,":[35],"industry":[36],"voices":[37],"keep":[38],"underestimating":[39],"their":[40,120,185,210,220],"severity,":[41],"advocating":[42],"for":[43,84],"practical":[44,74],"compromises":[45],"where":[46,112],"good-enough":[47],"data":[48,129],"does":[49],"not":[50],"need":[51],"to":[52,110,137,164,203,208],"be":[53,59,200],"perfect,":[54],"all":[56],"issues":[57,75],"will":[58],"solved":[60],"by":[61],"future":[62],"tuning.":[63],"Our":[64],"study":[65],"tackles":[66],"lack":[68],"systematic":[70],"understanding":[71],"arise":[77],"synthetic":[79,181],"behavior":[80],"its":[82],"use":[83],"steering":[85],"decisions":[86],"within":[87],"contexts.":[89],"Within":[90],"twelve":[91],"diverse":[92],"first":[93],"click":[94,114,144],"tests":[95],"(n":[96],"=":[97],"3431)":[98],"obtained":[99],"practice,":[103],"we":[104],"examine":[105],"ability":[107],"GPT":[109],"predict":[111],"they":[117],"reason":[118],"about":[119],"behavior.":[121],"Results":[122],"(e.g.,":[123],"significantly":[124],"different":[125,160],"distribution":[126],"53%":[131],"tasks)":[133],"demonstrate":[134],"critical":[135],"failures":[136],"reflect":[138],"patterns":[140],"which":[142],"users":[143],"on":[145,219,222],"visual":[146],"elements":[147],"underlying":[150],"cognitive":[151],"processes.":[152],"Participant":[153],"personas,":[154],"chain-of-thought":[155],"reasoning":[156],"GPT,":[158],"sampling":[161],"parameters":[162],"fail":[163],"create":[165],"sensible":[166],"fidelity":[167],"improvements":[168],"apart":[169],"inflating":[171],"believability.":[172],"We":[173],"expose":[174],"multitude":[176],"nuanced":[178],"distortions":[179,198],"responses":[182],"reduce":[184],"overall":[186],"analytical":[187],"usefulness":[188],"as":[189],"decision-making":[191],"resource,":[192],"compared":[193],"data.":[196,224],"Observed":[197],"can":[199],"theoretically":[201],"linked":[202],"properties":[205],"categorically":[206],"inherent":[207],"LLMs:":[209],"statistical":[211],"nature":[212],"encoding":[214],"semantic":[216],"heuristics":[217],"dependent":[218],"training":[221],"linguistic":[223]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}
