{"id":"https://openalex.org/W7146996324","doi":"https://doi.org/10.1145/3772318.3791918","title":"Interview-Informed Generative Agents for Product Discovery: A Validation Study","display_name":"Interview-Informed Generative Agents for Product Discovery: A Validation Study","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7146996324","doi":"https://doi.org/10.1145/3772318.3791918"},"language":null,"primary_location":{"id":"doi:10.1145/3772318.3791918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791918","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772318.3791918","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132614939","display_name":"Zichao Wang","orcid":null},"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":"Zichao Wang","raw_affiliation_strings":["Adobe Research, San Jose, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-6974-9939","affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, California, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026711201","display_name":"Alexa Siu","orcid":"https://orcid.org/0000-0002-4879-1476"},"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":"Alexa Siu","raw_affiliation_strings":["Adobe Research, San Jose, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-4879-1476","affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, California, USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1306409833"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25458248,"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":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.2969000041484833,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.2969000041484833,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.09600000083446503,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.057500001043081284,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7459999918937683},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.71670001745224},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6553000211715698},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6438999772071838},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5604000091552734}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7459999918937683},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.71670001745224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599000096321106},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6553000211715698},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6438999772071838},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5604000091552734},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.4749999940395355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731000065803528},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.430400013923645},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.39719998836517334},{"id":"https://openalex.org/C526771534","wikidata":"https://www.wikidata.org/wiki/Q7247798","display_name":"Product testing","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3222000002861023},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3050999939441681}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3772318.3791918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791918","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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:2603.29890","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2603.29890","pdf_url":"https://arxiv.org/pdf/2603.29890","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3772318.3791918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791918","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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"},"sustainable_development_goals":[{"score":0.5113766193389893,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"shown":[5],"strong":[6],"performance":[7],"on":[8],"standardized":[9],"social":[10],"science":[11],"instruments,":[12],"but":[13,66],"their":[14,48],"value":[15,110],"for":[16,104,111,124],"product":[17,129],"discovery":[18],"remains":[19],"unclear.":[20],"We":[21,121],"investigate":[22],"whether":[23],"interview-informed":[24],"generative":[25],"agents":[26,45,63],"can":[27],"simulate":[28],"user":[29],"responses":[30],"in":[31,96],"concept":[32,113],"testing":[33],"scenarios.":[34],"Using":[35],"in-depth":[36],"workflow":[37],"interviews":[38],"with":[39],"knowledge":[40],"workers,":[41],"we":[42],"created":[43],"personalized":[44],"and":[46,90,115],"compared":[47],"evaluations":[49],"of":[50,93],"novel":[51],"AI":[52],"concepts":[53],"against":[54],"the":[55,72,88,91],"same":[56],"participants\u2019":[57],"responses.":[58],"Our":[59],"results":[60],"show":[61],"that":[62],"are":[64,76],"distribution-calibrated":[65],"identity-imprecise:":[67],"they":[68,75],"fail":[69],"to":[70],"replicate":[71],"specific":[73],"individual":[74],"grounded":[77],"in,":[78],"yet":[79],"approximate":[80],"population-level":[81],"response":[82],"distributions.":[83],"These":[84],"findings":[85],"highlight":[86],"both":[87],"potential":[89],"limits":[92],"LLM":[94],"simulation":[95,107,126],"design":[97],"research.":[98],"While":[99],"unsuitable":[100],"as":[101],"a":[102],"substitute":[103],"individual-level":[105],"insights,":[106],"may":[108],"provide":[109],"early-stage":[112],"screening":[114],"iteration,":[116],"where":[117],"distributional":[118],"accuracy":[119],"suffices.":[120],"discuss":[122],"implications":[123],"integrating":[125],"responsibly":[127],"into":[128],"development":[130],"workflows.":[131]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-04-02T00:00:00"}