{"id":"https://openalex.org/W3173994093","doi":"https://doi.org/10.1145/3450613.3459657","title":"Adaptive Visualizations for Enhanced Data Understanding and Interpretation","display_name":"Adaptive Visualizations for Enhanced Data Understanding and Interpretation","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3173994093","doi":"https://doi.org/10.1145/3450613.3459657","mag":"3173994093"},"language":"en","primary_location":{"id":"doi:10.1145/3450613.3459657","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450613.3459657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020096453","display_name":"Christos Amyrotos","orcid":"https://orcid.org/0000-0001-9860-0407"},"institutions":[{"id":"https://openalex.org/I4210108889","display_name":"University of Central Lancashire Cyprus","ror":"https://ror.org/020ps3a34","country_code":"CY","type":"education","lineage":["https://openalex.org/I185852735","https://openalex.org/I4210108889"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Christos Amyrotos","raw_affiliation_strings":["UCLan Cyprus, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLan Cyprus, Cyprus","institution_ids":["https://openalex.org/I4210108889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020096453"],"corresponding_institution_ids":["https://openalex.org/I4210108889"],"apc_list":null,"apc_paid":null,"fwci":0.3818,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66173699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"291","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9850000143051147,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.677175760269165},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.6639566421508789},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5459313988685608},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5382402539253235},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4326225519180298},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3237878084182739},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20554274320602417},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18230122327804565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.677175760269165},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.6639566421508789},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5459313988685608},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5382402539253235},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4326225519180298},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3237878084182739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20554274320602417},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18230122327804565}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3450613.3459657","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450613.3459657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W52770770","https://openalex.org/W1516746461","https://openalex.org/W1601042374","https://openalex.org/W1955448118","https://openalex.org/W1967451046","https://openalex.org/W1967952393","https://openalex.org/W1988873435","https://openalex.org/W1991207010","https://openalex.org/W2008096689","https://openalex.org/W2009858410","https://openalex.org/W2016356199","https://openalex.org/W2019944300","https://openalex.org/W2096460983","https://openalex.org/W2103159878","https://openalex.org/W2111384966","https://openalex.org/W2117272721","https://openalex.org/W2138199375","https://openalex.org/W2323909273","https://openalex.org/W2408574227","https://openalex.org/W2460774167","https://openalex.org/W2510934748","https://openalex.org/W2515673694","https://openalex.org/W2594185020","https://openalex.org/W2622684336","https://openalex.org/W2734916492","https://openalex.org/W2981587727","https://openalex.org/W3043559324","https://openalex.org/W4239775701","https://openalex.org/W4292925390"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"In":[0],"a":[1,109,149,181],"data":[2,6,25,40,67,71,94,112,126,182,193,204,215],"driven":[3],"economy":[4],"where":[5],"volume":[7],"and":[8,18,26,85,95,160,167,169,179,201,211,235],"dimensions":[9],"are":[10],"explosively":[11],"increasing,":[12],"businesses":[13],"rely":[14],"on":[15,103,196,231],"business":[16,48,134,174],"intelligence":[17],"analytics":[19,127,205],"(BI&A)":[20],"platforms":[21,63],"for":[22,46,77,162],"analysing":[23],"their":[24,97],"coming":[27],"to":[28,107,131,172,188,225],"beneficial":[29],"decisions.":[30],"With":[31],"the":[32,37,47,51,60,78,89,116,121,133,173,189,191,197,209,214,223,228,232],"ever-growing":[33],"generation":[34],"of":[35,39,53,66,74,92,118,123,142,213],"data,":[36,177],"process":[38,217],"analysis":[41],"is":[42,146],"becoming":[43],"more":[44,54],"complicated":[45],"users,":[49],"as":[50,120],"exploration":[52,216],"demanding":[55],"use":[56],"cases":[57],"increases.":[58],"While":[59],"existing":[61],"BI&A":[62],"provide":[64],"myriads":[65],"visualizations":[68,113,178,194],"that":[69,129,154,185,207],"support":[70],"exploration,":[72],"none":[73],"those":[75],"account":[76],"user\u2019s":[79,90,135,233],"individual":[80],"differences,":[81],"needs":[82],"or":[83],"requirements,":[84],"thus":[86],"may":[87],"hinder":[88],"understanding":[91,141],"visual":[93],"consequently":[96],"decision-making":[98],"processes.":[99],"This":[100],"work":[101],"embarks":[102],"an":[104,124,202],"interdisciplinary":[105],"endeavour":[106],"introduce":[108],"human-centred":[110,151],"adaptive":[111,125],"framework":[114,145],"in":[115],"context":[117,175],"business,":[119],"core":[122],"platform,":[128],"aims":[130],"enhance":[132],"decision":[136],"making":[137],"by":[138,218],"increasing":[139],"her":[140],"data.":[143],"The":[144],"built":[147],"using":[148],"multi-dimensional":[150],"user":[152,158,199,220,229],"model":[153,230],"goes":[155],"beyond":[156],"traditional":[157],"characteristics":[159],"accounts":[161],"cognitive":[163],"factors,":[164],"domain":[165],"expertise":[166,234],"experience":[168],"factors":[170],"related":[171],"i.e.,":[176],"tasks;":[180],"visualization":[183],"engine":[184],"will":[186],"recommend":[187],"unique-user":[190],"best-fit":[192],"based":[195],"abovementioned":[198],"model;":[200],"intelligent":[203],"component":[206],"enhances":[208],"efficiency":[210],"effectiveness":[212],"leveraging":[219],"interactions":[221],"during":[222],"explorations":[224],"further":[226],"inform":[227],"experience.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
