{"id":"https://openalex.org/W2940682994","doi":"https://doi.org/10.1145/3290605.3300462","title":"Neighborhood Perception in Bar Charts","display_name":"Neighborhood Perception in Bar Charts","publication_year":2019,"publication_date":"2019-04-29","ids":{"openalex":"https://openalex.org/W2940682994","doi":"https://doi.org/10.1145/3290605.3300462","mag":"2940682994"},"language":"en","primary_location":{"id":"doi:10.1145/3290605.3300462","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290605.3300462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 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/A5033425538","display_name":"Mingqian Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Mingqian Zhao","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091466289","display_name":"Huamin Qu","orcid":"https://orcid.org/0000-0002-3344-9694"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Huamin Qu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037110552","display_name":"Michael Sedlmair","orcid":"https://orcid.org/0000-0001-7048-9292"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Sedlmair","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033425538"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.5184,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.86138487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"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":0.9980000257492065,"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":0.9980000257492065,"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/T11309","display_name":"Music and Audio Processing","score":0.9466000199317932,"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"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bar","display_name":"Bar (unit)","score":0.9051609039306641},{"id":"https://openalex.org/keywords/bar-chart","display_name":"Bar chart","score":0.8992772698402405},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6844556331634521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.521621823310852},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.43007978796958923},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4239589273929596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35590824484825134},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3346996605396271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31104007363319397},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14921888709068298},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12274804711341858},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10557520389556885}],"concepts":[{"id":"https://openalex.org/C188721877","wikidata":"https://www.wikidata.org/wiki/Q103510","display_name":"Bar (unit)","level":2,"score":0.9051609039306641},{"id":"https://openalex.org/C61122496","wikidata":"https://www.wikidata.org/wiki/Q1124595","display_name":"Bar chart","level":2,"score":0.8992772698402405},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6844556331634521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.521621823310852},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.43007978796958923},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4239589273929596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35590824484825134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3346996605396271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31104007363319397},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14921888709068298},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12274804711341858},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10557520389556885},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3290605.3300462","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290605.3300462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-96927","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-96927","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-96927","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2019&rft.spage=&rft.aulast=Zhao&rft.aufirst=Mingqian&rft.atitle=Neighborhood+Perception+in+Bar+Charts&rft.title=","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W46367284","https://openalex.org/W654566995","https://openalex.org/W1483974228","https://openalex.org/W1565482655","https://openalex.org/W1823329909","https://openalex.org/W1971781829","https://openalex.org/W1976837461","https://openalex.org/W1985931747","https://openalex.org/W1989401072","https://openalex.org/W2005817474","https://openalex.org/W2006393891","https://openalex.org/W2011678556","https://openalex.org/W2017586516","https://openalex.org/W2021430127","https://openalex.org/W2022741721","https://openalex.org/W2023417042","https://openalex.org/W2029239095","https://openalex.org/W2033263428","https://openalex.org/W2040641857","https://openalex.org/W2052618511","https://openalex.org/W2053306752","https://openalex.org/W2068517522","https://openalex.org/W2070664725","https://openalex.org/W2080534001","https://openalex.org/W2100271857","https://openalex.org/W2115202204","https://openalex.org/W2117470435","https://openalex.org/W2127875809","https://openalex.org/W2142223224","https://openalex.org/W2142290769","https://openalex.org/W2142635246","https://openalex.org/W2164973575","https://openalex.org/W2168745915","https://openalex.org/W2402448694","https://openalex.org/W2404019177","https://openalex.org/W2407293509","https://openalex.org/W2517337901","https://openalex.org/W2594908799","https://openalex.org/W2605161469","https://openalex.org/W2734623983","https://openalex.org/W2751787250","https://openalex.org/W2795915595","https://openalex.org/W2797532987","https://openalex.org/W2897671424","https://openalex.org/W4229977739","https://openalex.org/W4235397670","https://openalex.org/W4236433111","https://openalex.org/W4255879376","https://openalex.org/W4256183008","https://openalex.org/W4297310858","https://openalex.org/W4379510236"],"related_works":["https://openalex.org/W2940682994","https://openalex.org/W4236230270","https://openalex.org/W1499232172","https://openalex.org/W4254627246","https://openalex.org/W4243489664","https://openalex.org/W2486941584","https://openalex.org/W2970848727","https://openalex.org/W4379390844","https://openalex.org/W3009603321","https://openalex.org/W2905210242"],"abstract_inverted_index":{"In":[0],"this":[1,92],"paper,":[2],"we":[3,127],"report":[4],"three":[5],"user":[6],"experiments":[7],"that":[8,33,61],"investigate":[9],"in":[10,18],"how":[11],"far":[12],"the":[13,25,34,37,50,54,80,88,102,108,121,125],"perception":[14,35],"of":[15,27,36,91,113,120],"a":[16,19,66],"bar":[17,20,68,82,110,134],"chart":[21],"changes":[22],"based":[23],"on":[24,107,124],"height":[26],"its":[28],"neighboring":[29],"bars.":[30,57],"We":[31],"hypothesized":[32],"very":[38],"same":[39,81],"bar,":[40],"for":[41,131],"instance,":[42],"might":[43],"differ":[44],"when":[45],"it":[46],"is":[47,74,95],"surrounded":[48,69,83],"by":[49,70],"top":[51,55],"highest":[52],"vs.":[53],"lowest":[56],"Our":[58],"results":[59],"show":[60],"such":[62],"neighborhood":[63,93],"effects":[64],"exist:":[65],"target":[67,109],"high":[71],"neighbor":[72],"bars,":[73],"perceived":[75],"to":[76,98],"be":[77],"lower":[78],"as":[79],"with":[84],"low":[85],"neighbors.":[86],"Yet,":[87],"effect":[89,94],"size":[90],"small":[96],"compared":[97],"other":[99,117],"data-inherent":[100],"effects:":[101],"judgment":[103],"accuracy":[104],"largely":[105],"depends":[106],"rank,":[111],"number":[112],"data":[114,118],"items,":[115],"and":[116],"characteristics":[119],"dataset.":[122],"Based":[123],"findings,":[126],"discuss":[128],"design":[129],"implications":[130],"perceptually":[132],"optimizing":[133],"charts.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
