{"id":"https://openalex.org/W7153756454","doi":"https://doi.org/10.1145/3772363.3798338","title":"Visualizing 30 Years of CHI Research with Generative AI","display_name":"Visualizing 30 Years of CHI Research with Generative AI","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7153756454","doi":"https://doi.org/10.1145/3772363.3798338"},"language":null,"primary_location":{"id":"doi:10.1145/3772363.3798338","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798338","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/10.1145/3772363.3798338","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109109439","display_name":"S.-Y. Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunggyeol Oh","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, Blacksburg, Virginia, USA"],"raw_orcid":"https://orcid.org/0009-0008-0033-8104","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079726704","display_name":"Andrew Katz","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Katz","raw_affiliation_strings":["Department of Engineering Education, Virginia Tech, Blacksburg, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0002-3554-9015","affiliations":[{"raw_affiliation_string":"Department of Engineering Education, Virginia Tech, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028635197","display_name":"Scott McCrickard","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott McCrickard","raw_affiliation_strings":["Department of Computer Science, Virginia Tech, Blacksburg, Virginia, USA"],"raw_orcid":"https://orcid.org/0000-0001-9839-7146","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I859038795"],"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.26429998874664307,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.26429998874664307,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.042399998754262924,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.024700000882148743,"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/feature","display_name":"Feature (linguistics)","score":0.3752000033855438},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3296000063419342},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.2676999866962433},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.2662000060081482},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.2522999942302704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5491999983787537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5109000205993652},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39239999651908875},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.24130000174045563},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.23739999532699585}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772363.3798338","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798338","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:10.1145/3772363.3798338","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798338","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W2006255103","https://openalex.org/W2047875086","https://openalex.org/W2106738877","https://openalex.org/W2110466318","https://openalex.org/W2116219421","https://openalex.org/W2128728535","https://openalex.org/W2137260886","https://openalex.org/W2147997165","https://openalex.org/W2601243251","https://openalex.org/W2619824656","https://openalex.org/W2942742024","https://openalex.org/W2956530858","https://openalex.org/W2989914660","https://openalex.org/W3086649583","https://openalex.org/W3191638286","https://openalex.org/W4221142221","https://openalex.org/W4235169531","https://openalex.org/W4250857377","https://openalex.org/W4360978668","https://openalex.org/W4376643691","https://openalex.org/W4389520295","https://openalex.org/W4391158659","https://openalex.org/W4396833424","https://openalex.org/W4400434299","https://openalex.org/W4402701329","https://openalex.org/W4404534210","https://openalex.org/W4409885603","https://openalex.org/W7125218033"],"related_works":[],"abstract_inverted_index":{"CHI":[0,41],"has":[1],"grown":[2],"from":[3,89],"roughly":[4,124],"60":[5,96],"papers":[6],"annually":[7],"in":[8,13,98,115],"1996":[9],"to":[10,38,123],"over":[11],"1,000":[12],"2025,":[14],"creating":[15],"a":[16,26,73,80,125,130],"corpus":[17,62],"too":[18],"large":[19],"for":[20],"manual":[21],"thematic":[22],"tracking.":[23],"We":[24],"present":[25],"methodology":[27],"that":[28],"combines":[29],"Generative":[30,141],"AI-assisted":[31],"coding,":[32],"text":[33],"embedding,":[34],"and":[35,60,79,101],"multi-stage":[36],"clustering":[37],"organize":[39],"11,847":[40],"paper":[42],"abstracts":[43],"into":[44,129],"921":[45],"themes":[46],"under":[47],"26":[48],"meta-themes.":[49],"Bootstrap":[50],"analysis":[51],"confirms":[52],"stability":[53],"(Adjusted":[54],"Rand":[55],"Index":[56],"[ARI]":[57],"=":[58],"0.91)":[59],"100%":[61],"coverage.":[63],"Two":[64],"complementary":[65],"visualizations":[66],"reveal":[67,145],"distinct":[68],"aspects":[69],"of":[70,148],"field":[71],"evolution:":[72],"streamgraph":[74],"showing":[75,82],"absolute":[76,99,116],"volume":[77],"changes":[78],"heatmap":[81],"proportional":[83],"shifts.":[84],"Together,":[85],"they":[86],"distinguish":[87],"growth":[88],"shifting":[90],"priorities.":[91],"Human-AI":[92],"interaction":[93],"increased":[94],"by":[95,102],"times":[97,104],"terms":[100,117],"5":[103],"proportionally.":[105],"At":[106],"the":[107,146],"same":[108],"time,":[109],"User-Centered":[110],"Design":[111],"Research":[112],"grew":[113],"modestly":[114],"while":[118],"its":[119],"relative":[120],"share":[121],"fell":[122],"third,":[126],"suggesting":[127],"maturation":[128],"foundational":[131],"practice.":[132],"These":[133],"patterns,":[134],"invisible":[135],"at":[136],"this":[137],"scale,":[138],"demonstrate":[139],"how":[140],"AI-powered":[142],"methods":[143],"can":[144],"dynamics":[147],"scholarly":[149],"evolution.":[150]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-13T00:00:00"}
