{"id":"https://openalex.org/W6964065750","doi":"https://doi.org/10.2312/mlvis.20241126","title":"User-Adaptive Visualizations: An Exploration with GPT-4","display_name":"User-Adaptive Visualizations: An Exploration with GPT-4","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6964065750","doi":"https://doi.org/10.2312/mlvis.20241126"},"language":"en","primary_location":{"id":"doi:10.2312/mlvis.20241126","is_oa":true,"landing_page_url":"https://doi.org/10.2312/mlvis.20241126","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"ConferencePaper"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/mlvis.20241126","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yanez, Fernando J.","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yanez, Fernando J.","raw_affiliation_strings":["University of Toronto, Toronto, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nobre, Carolina","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nobre, Carolina","raw_affiliation_strings":["University of Toronto, Toronto, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":1.9878,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89940828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11594","display_name":"Tree-ring climate responses","score":0.15860000252723694,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11594","display_name":"Tree-ring climate responses","score":0.15860000252723694,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12713","display_name":"Forest Ecology and Biodiversity Studies","score":0.0997999981045723,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8098000288009644},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5742999911308289},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5558000206947327},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.46889999508857727},{"id":"https://openalex.org/keywords/data-exploration","display_name":"Data exploration","score":0.41780000925064087},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.37380000948905945},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.35569998621940613},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.3452000021934509}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8098000288009644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6452000141143799},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5742999911308289},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5490000247955322},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.46889999508857727},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.41780000925064087},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3864000141620636},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.3327000141143799},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30720001459121704},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.2705000042915344},{"id":"https://openalex.org/C3017568202","wikidata":"https://www.wikidata.org/wiki/Q2899888","display_name":"User needs","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C56995899","wikidata":"https://www.wikidata.org/wiki/Q1126687","display_name":"Focus group","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.2590000033378601},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/mlvis.20241126","is_oa":true,"landing_page_url":"https://doi.org/10.2312/mlvis.20241126","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"ConferencePaper"}],"best_oa_location":{"id":"doi:10.2312/mlvis.20241126","is_oa":true,"landing_page_url":"https://doi.org/10.2312/mlvis.20241126","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"ConferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8158641457557678}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data":[0],"visualizations":[1,31,52,115],"aim":[2],"to":[3,53,55,63,67,93],"enhance":[4],"cognition":[5],"and":[6],"data":[7,51],"interpretation.":[8],"However,":[9,88],"individual":[10,56],"differences":[11],"impact":[12],"visual":[13],"analysis,":[14],"suggesting":[15,97],"a":[16,61],"personalized":[17,69,114],"approach":[18],"may":[19],"be":[20],"more":[21],"effective.":[22],"Current":[23],"efforts":[24],"focus":[25],"on":[26],"the":[27,37,86,100,108],"study":[28,62],"of":[29,73,102,110],"generating":[30],"with":[32],"Large":[33],"Language":[34],"Models,":[35],"lacking":[36],"user":[38,57,120],"personalization":[39],"component.":[40],"This":[41],"project":[42],"explores":[43],"using":[44],"such":[45],"models,":[46],"specifically":[47],"GPT-4,":[48],"for":[49,78],"modifying":[50],"tailor":[54],"characteristics.":[58],"We":[59],"developed":[60],"test":[64],"GPT-4's":[65],"ability":[66],"generate":[68],"visualizations.":[70],"Statistical":[71],"analysis":[72],"our":[74],"results":[75],"shows":[76],"that":[77],"some":[79],"personas,":[80],"GPT":[81],"is":[82],"effective":[83],"at":[84],"personalizing":[85],"visualization.":[87],"not":[89],"all":[90],"personalizations":[91],"led":[92],"statistically":[94],"significant":[95],"improvements,":[96],"variability":[98],"in":[99],"effectiveness":[101],"LLM-driven":[103],"personalization.":[104],"These":[105],"findings":[106],"underline":[107],"importance":[109],"further":[111],"exploring":[112],"how":[113],"can":[116],"best":[117],"meet":[118],"diverse":[119],"needs.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
