{"id":"https://openalex.org/W2753171348","doi":"https://doi.org/10.1109/tvcg.2017.2744198","title":"Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring","display_name":"Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring","publication_year":2017,"publication_date":"2017-08-28","ids":{"openalex":"https://openalex.org/W2753171348","doi":"https://doi.org/10.1109/tvcg.2017.2744198","mag":"2753171348","pmid":"https://pubmed.ncbi.nlm.nih.gov/28866529"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2017.2744198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2744198","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5076643407","display_name":"Zening Qu","orcid":"https://orcid.org/0009-0004-5313-0076"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zening Qu","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068008545","display_name":"Jessica Hullman","orcid":"https://orcid.org/0000-0001-6826-3550"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Hullman","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":4.4832,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.96687322,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"468","last_page":"477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":1.0,"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":1.0,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9562000036239624,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8200862407684326},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7645319700241089},{"id":"https://openalex.org/keywords/consistency-model","display_name":"Consistency model","score":0.6422775983810425},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6290696859359741},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.560261607170105},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5384649038314819},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.484855055809021},{"id":"https://openalex.org/keywords/causal-consistency","display_name":"Causal consistency","score":0.4705864489078522},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4331303536891937},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42491015791893005},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.41849127411842346},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3544529378414154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34229689836502075},{"id":"https://openalex.org/keywords/data-consistency","display_name":"Data consistency","score":0.3128083348274231},{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.30342817306518555},{"id":"https://openalex.org/keywords/sequential-consistency","display_name":"Sequential consistency","score":0.25808364152908325},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2352653443813324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21202117204666138},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17558568716049194},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.11498796939849854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200862407684326},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7645319700241089},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.6422775983810425},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6290696859359741},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.560261607170105},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5384649038314819},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.484855055809021},{"id":"https://openalex.org/C175652121","wikidata":"https://www.wikidata.org/wiki/Q4379351","display_name":"Causal consistency","level":5,"score":0.4705864489078522},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4331303536891937},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42491015791893005},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.41849127411842346},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3544529378414154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34229689836502075},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.3128083348274231},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.30342817306518555},{"id":"https://openalex.org/C82029504","wikidata":"https://www.wikidata.org/wiki/Q4373882","display_name":"Sequential consistency","level":4,"score":0.25808364152908325},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2352653443813324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21202117204666138},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17558568716049194},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.11498796939849854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2017.2744198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2744198","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:28866529","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28866529","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:share.osf.io:7d26b562-78f3-484f-abbe-043eb6c0656f","is_oa":false,"landing_page_url":"https://osf.io/9c6bw","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":"Project"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W47957325","https://openalex.org/W884650706","https://openalex.org/W1961845056","https://openalex.org/W1964883191","https://openalex.org/W1972170794","https://openalex.org/W1980209219","https://openalex.org/W1987269142","https://openalex.org/W2020323341","https://openalex.org/W2059216172","https://openalex.org/W2068779004","https://openalex.org/W2070328828","https://openalex.org/W2079201812","https://openalex.org/W2079420557","https://openalex.org/W2098417174","https://openalex.org/W2106281550","https://openalex.org/W2116401686","https://openalex.org/W2132881639","https://openalex.org/W2135415614","https://openalex.org/W2145817751","https://openalex.org/W2152922709","https://openalex.org/W2155843307","https://openalex.org/W2157570155","https://openalex.org/W2160382748","https://openalex.org/W2170836630","https://openalex.org/W2171073562","https://openalex.org/W2215054329","https://openalex.org/W2516678343","https://openalex.org/W2529177160","https://openalex.org/W2610226709","https://openalex.org/W2610767545","https://openalex.org/W2610881169","https://openalex.org/W2618814260","https://openalex.org/W2914973542","https://openalex.org/W4239356981","https://openalex.org/W4242628327","https://openalex.org/W4290619234"],"related_works":["https://openalex.org/W2008412758","https://openalex.org/W2322874084","https://openalex.org/W4301961819","https://openalex.org/W1941941198","https://openalex.org/W2030985429","https://openalex.org/W4229944339","https://openalex.org/W2098650100","https://openalex.org/W2071208066","https://openalex.org/W2604924028","https://openalex.org/W2753171348"],"abstract_inverted_index":{"Visualizations":[0],"often":[1],"appear":[2],"in":[3,6,81,90,101,129],"multiples,":[4,12],"either":[5,154],"a":[7,87,113,127,206],"single":[8,32],"display":[9],"(e.g.,":[10,19,48,192],"small":[11],"dashboard)":[13],"or":[14,17,159],"across":[15,56,120],"time":[16],"space":[18],"slideshow,":[20],"set":[21,114],"of":[22,115,183],"dashboards).":[23],"However,":[24],"existing":[25],"visualization":[26,82,104],"design":[27,72,105,187,211],"guidelines":[28,40],"typically":[29],"focus":[30],"on":[31],"rather":[33],"than":[34],"multiple":[35,121],"views.":[36,122],"Solely":[37],"following":[38],"these":[39],"can":[41],"lead":[42],"to":[43,77,150,216],"effective":[44],"yet":[45],"inconsistent":[46],"views":[47,156],"the":[49,124,151,180],"same":[50],"field":[51],"has":[52],"different":[53],"axes":[54],"domains":[55],"charts),":[57],"making":[58,74],"interpretation":[59],"slow":[60],"and":[61,98,141,172,177,185,209],"error-prone.":[62],"Moreover,":[63],"little":[64],"is":[65],"known":[66],"how":[67,94],"consistency":[68,79,100,119,145,158,164,184,203],"balances":[69],"with":[70],"other":[71,186],"considerations,":[73],"it":[75],"difficult":[76],"incorporate":[78],"mechanisms":[80],"authoring":[83],"software.":[84],"We":[85,107,168,200],"present":[86],"wizard-of-oz":[88],"study":[89],"which":[91],"we":[92,132],"observed":[93,133],"Tableau":[95],"users":[96],"achieve":[97],"sacrifice":[99],"an":[102],"exploration-to-presentation":[103],"scenario.":[106],"extend":[108],"(from":[109],"our":[110,130],"prior":[111],"work)":[112],"encoding-specific":[116],"constraints":[117,125],"defining":[118],"Using":[123],"as":[126,174,205],"checklist":[128],"study,":[131],"cases":[134,143],"where":[135,144],"participants":[136,153],"spontaneously":[137],"maintained":[138],"consistent":[139],"encodings":[140],"warned":[142],"was":[146],"overlooked.":[147],"In":[148],"response":[149],"warnings,":[152],"revised":[155],"for":[157,213],"stated":[160],"why":[161],"they":[162],"thought":[163],"should":[165],"be":[166],"overwritten.":[167],"categorize":[169],"participants'":[170],"actions":[171],"responses":[173],"constraint":[175],"validations":[176],"exceptions,":[178],"depicting":[179],"relative":[181],"importance":[182],"considerations":[188],"under":[189],"various":[190],"circumstances":[191],"data":[193],"cardinality,":[194],"available":[195],"encoding":[196],"resources,":[197],"chart":[198],"layout).":[199],"discuss":[201],"automatic":[202],"checking":[204],"constraint-satisfaction":[207],"problem":[208],"provide":[210],"implications":[212],"communicating":[214],"inconsistencies":[215],"users.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":14}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}