{"id":"https://openalex.org/W7153712457","doi":"https://doi.org/10.1145/3772363.3798969","title":"Surprising Personas: Persona Sets with Controllably Unexpected Features","display_name":"Surprising Personas: Persona Sets with Controllably Unexpected Features","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7153712457","doi":"https://doi.org/10.1145/3772363.3798969"},"language":null,"primary_location":{"id":"doi:10.1145/3772363.3798969","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798969","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772363.3798969","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032958161","display_name":"Christina Chance","orcid":"https://orcid.org/0000-0002-8254-0670"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christina Chance","raw_affiliation_strings":["Computer Science, University of California, Los Angeles, Los Angeles, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-8254-0670","affiliations":[{"raw_affiliation_string":"Computer Science, University of California, Los Angeles, Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072471679","display_name":"Jennifer Healey","orcid":"https://orcid.org/0000-0002-5700-4921"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Healey","raw_affiliation_strings":["Adobe Research, San Jose, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-5700-4921","affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, California, USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14074","display_name":"Persona Design and Applications","score":0.9936000108718872,"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":0.9936000108718872,"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/T11719","display_name":"Data Quality and Management","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.00019999999494757503,"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/persona","display_name":"Persona","score":0.3188999891281128},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.31470000743865967},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.26489999890327454},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.26260000467300415},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.26249998807907104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4799000024795532},{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3034000098705292},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2590999901294708},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772363.3798969","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798969","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3772363.3798969","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798969","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5166995525360107,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1967713927","https://openalex.org/W1969768303","https://openalex.org/W2500139799","https://openalex.org/W2610579073","https://openalex.org/W2790889206","https://openalex.org/W3032424578","https://openalex.org/W3037831233","https://openalex.org/W3127420262","https://openalex.org/W3133702157","https://openalex.org/W3155511510","https://openalex.org/W3168771811","https://openalex.org/W3183634241","https://openalex.org/W3184144760","https://openalex.org/W4247849993","https://openalex.org/W4280631311","https://openalex.org/W4297156445","https://openalex.org/W4327851995","https://openalex.org/W4385570695","https://openalex.org/W4385571220","https://openalex.org/W4401043206","https://openalex.org/W4402683409","https://openalex.org/W4406243029","https://openalex.org/W4408929481","https://openalex.org/W4409736095","https://openalex.org/W4416034190"],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"model":[2],"(LLM)":[3],"systems":[4,121],"are":[5,44],"often":[6],"evaluated":[7],"using":[8,47],"sets":[9,24],"of":[10,96],"synthetic":[11],"personas.":[12],"We":[13,72,109],"find":[14],"that":[15,35,66,74],"both":[16],"demographic":[17],"descriptor":[18],"based":[19,22,99],"and":[20,33,90,117,122],"feature":[21],"persona":[23],"can":[25,113],"lead":[26],"to":[27],"preference":[28,88],"gaps,":[29],"diminished":[30],"recommendation":[31,82,120],"diversity":[32],"conversations":[34,75],"include":[36],"overly":[37],"stereotyped":[38],"marked":[39],"words.":[40],"Although":[41],"these":[42,111],"problems":[43],"eliminated":[45],"by":[46],"random":[48,50],"personas,":[49,62],"personas":[51,78,112],"lose":[52],"information":[53],"about":[54],"likely":[55],"user":[56],"preferences.":[57,71],"Instead,":[58],"we":[59,123],"present":[60],"surprising":[61,77],"a":[63,80,101],"generation":[64],"method":[65],"allows":[67],"for":[68,126],"controllably":[69],"unlikely":[70],"confirm":[73],"with":[76,103],"have":[79],"higher":[81],"entropy":[83],"(M=5.67":[84],"vs.":[85],"M=4.29),":[86],"avoid":[87],"gaps":[89],"more":[91,118],"closely":[92],"resemble":[93],"the":[94],"preferences":[95],"real":[97],"people,":[98],"on":[100],"survey":[102],"977":[104],"participants":[105],"from":[106],"different":[107],"demographics.":[108],"believe":[110],"help":[114],"develop":[115],"better":[116],"fair":[119],"outline":[124],"directions":[125],"future":[127],"research.":[128]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-13T00:00:00"}
