{"id":"https://openalex.org/W3029772237","doi":"https://doi.org/10.1145/3313831.3376263","title":"Exploring Visual Information Flows in Infographics","display_name":"Exploring Visual Information Flows in Infographics","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3029772237","doi":"https://doi.org/10.1145/3313831.3376263","mag":"3029772237"},"language":"en","primary_location":{"id":"doi:10.1145/3313831.3376263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","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/A5010444353","display_name":"Min L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Lu","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048407252","display_name":"Chufeng Wang","orcid":"https://orcid.org/0009-0003-4684-3564"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chufeng Wang","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059096880","display_name":"Joel Lanir","orcid":"https://orcid.org/0000-0002-9838-5142"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Joel Lanir","raw_affiliation_strings":["The University of Haifa, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"The University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072341936","display_name":"Nanxuan Zhao","orcid":"https://orcid.org/0000-0002-4007-2776"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Nanxuan Zhao","raw_affiliation_strings":["Harvard University & City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Harvard University & City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043151044","display_name":"Hanspeter Pfister","orcid":"https://orcid.org/0000-0002-3620-2582"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanspeter Pfister","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036688260","display_name":"Daniel Cohen\u2010Or","orcid":"https://orcid.org/0000-0001-6777-7445"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel Cohen-Or","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034304352","display_name":"Hui Huang","orcid":"https://orcid.org/0000-0003-3212-0544"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Huang","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5010444353"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":4.3184,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95528994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994000196456909,"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":0.9994000196456909,"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.934499979019165,"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/T10672","display_name":"Design Education and Practice","score":0.9089999794960022,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/infographic","display_name":"Infographic","score":0.9878095984458923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7467052340507507},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.5863716006278992},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5332911014556885},{"id":"https://openalex.org/keywords/chaining","display_name":"Chaining","score":0.5197591185569763},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5133549571037292},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47162532806396484},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4711396098136902},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.46760880947113037},{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.45318669080734253},{"id":"https://openalex.org/keywords/communication-design","display_name":"Communication design","score":0.4194600582122803},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3846094012260437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35888415575027466},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35394445061683655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18851706385612488},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.16739419102668762},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.08003005385398865}],"concepts":[{"id":"https://openalex.org/C156365220","wikidata":"https://www.wikidata.org/wiki/Q845734","display_name":"Infographic","level":2,"score":0.9878095984458923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7467052340507507},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.5863716006278992},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5332911014556885},{"id":"https://openalex.org/C49020025","wikidata":"https://www.wikidata.org/wiki/Q1059099","display_name":"Chaining","level":2,"score":0.5197591185569763},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5133549571037292},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47162532806396484},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4711396098136902},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.46760880947113037},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.45318669080734253},{"id":"https://openalex.org/C41022531","wikidata":"https://www.wikidata.org/wiki/Q333657","display_name":"Communication design","level":2,"score":0.4194600582122803},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3846094012260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35888415575027466},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35394445061683655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18851706385612488},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.16739419102668762},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.08003005385398865},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313831.3376263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W126405584","https://openalex.org/W1522061532","https://openalex.org/W1530372876","https://openalex.org/W1536680647","https://openalex.org/W1581231885","https://openalex.org/W1673310716","https://openalex.org/W1935970548","https://openalex.org/W1941368187","https://openalex.org/W1980209219","https://openalex.org/W1991292887","https://openalex.org/W2007644286","https://openalex.org/W2011673487","https://openalex.org/W2048905912","https://openalex.org/W2054901814","https://openalex.org/W2107657300","https://openalex.org/W2120326355","https://openalex.org/W2125215841","https://openalex.org/W2156349886","https://openalex.org/W2157900633","https://openalex.org/W2187089797","https://openalex.org/W2193145675","https://openalex.org/W2517256332","https://openalex.org/W2518599754","https://openalex.org/W2529597677","https://openalex.org/W2728218263","https://openalex.org/W2742434688","https://openalex.org/W2744592570","https://openalex.org/W2789066399","https://openalex.org/W2795498407","https://openalex.org/W2795857247","https://openalex.org/W2809742984","https://openalex.org/W2963037989","https://openalex.org/W2966386095","https://openalex.org/W3099512298","https://openalex.org/W3106250896","https://openalex.org/W4241602464"],"related_works":["https://openalex.org/W2783937668","https://openalex.org/W4389433970","https://openalex.org/W2523628251","https://openalex.org/W3021287274","https://openalex.org/W2985775149","https://openalex.org/W2996895802","https://openalex.org/W1587413890","https://openalex.org/W4327949015","https://openalex.org/W4318827142","https://openalex.org/W2228493664"],"abstract_inverted_index":{"Infographics":[0],"are":[1],"engaging":[2],"visual":[3,78,97],"representations":[4],"that":[5,46],"tell":[6],"an":[7],"informative":[8],"story":[9,55],"using":[10],"a":[11,25,64,72,114,123],"fusion":[12],"of":[13,21,35,66,116,134,138],"data":[14],"and":[15,54,132],"graphical":[16,48],"elements.":[17],"The":[18],"large":[19],"variety":[20],"infographic":[22,125],"design":[23,111,119,130],"poses":[24],"challenge":[26],"for":[27],"their":[28,85],"high-level":[29],"analysis.":[30],"We":[31,70,89],"use":[32,71],"the":[33,42,52,57,91,109,129],"concept":[34],"Visual":[36],"Information":[37],"Flow":[38],"(VIF),":[39],"which":[40],"is":[41],"underlying":[43],"semantic":[44],"structure":[45],"links":[47],"elements":[49,79,98],"to":[50,56,76,81,84],"convey":[51],"information":[53],"user.":[58],"To":[59],"explore":[60],"VIF,":[61],"we":[62,107,127],"collected":[63],"repository":[65],"over":[67],"13K":[68],"infographics.":[69],"deep":[73],"neural":[74],"network":[75],"identify":[77],"related":[80],"information,":[82],"agnostic":[83],"various":[86],"artistic":[87],"appearances.":[88],"construct":[90],"VIF":[92,110,135],"by":[93,113],"automatically":[94],"chaining":[95],"these":[96],"together":[99],"based":[100],"on":[101],"Gestalt":[102],"principles.":[103],"Using":[104],"this":[105,139],"analysis,":[106],"characterize":[108],"space":[112,131],"taxonomy":[115],"12":[117],"different":[118],"patterns.":[120],"Exploring":[121],"in":[122,136],"real-world":[124],"dataset,":[126],"discuss":[128],"potentials":[133],"light":[137],"taxonomy.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}