{"id":"https://openalex.org/W2059745921","doi":"https://doi.org/10.1109/tvcg.2014.2346426","title":"The Influence of Contour on Similarity Perception of Star Glyphs","display_name":"The Influence of Contour on Similarity Perception of Star Glyphs","publication_year":2014,"publication_date":"2014-08-11","ids":{"openalex":"https://openalex.org/W2059745921","doi":"https://doi.org/10.1109/tvcg.2014.2346426","mag":"2059745921","pmid":"https://pubmed.ncbi.nlm.nih.gov/26356939"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2014.2346426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2014.2346426","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":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01023867","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001876683","display_name":"Johannes Fuchs","orcid":"https://orcid.org/0000-0001-5474-4214"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Johannes Fuchs","raw_affiliation_strings":["University of Konstanz","Data Analysis and Visualization (Germany)"],"affiliations":[{"raw_affiliation_string":"University of Konstanz","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"Data Analysis and Visualization (Germany)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024860629","display_name":"Petra Isenberg","orcid":"https://orcid.org/0000-0002-2948-6417"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Petra Isenberg","raw_affiliation_strings":["Inria","AVIZ - Analysis and Visualization (DIGITEO, Bat. Claude Shannon - Universit\u00e9 de Paris-Sud, B\u00e2timent 660, 91190 Gif-sur-Yvette - France)"],"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"AVIZ - Analysis and Visualization (DIGITEO, Bat. Claude Shannon - Universit\u00e9 de Paris-Sud, B\u00e2timent 660, 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I102197404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089688638","display_name":"Anastasia Bezerianos","orcid":"https://orcid.org/0000-0002-7142-2548"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210144804","display_name":"Laboratoire de Recherche en Informatique","ror":"https://ror.org/04e3ktk27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210144804","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anastasia Bezerianos","raw_affiliation_strings":["CNRS & Inria, Universit\u00e9 Paris-Sud","LRI - Laboratoire de Recherche en Informatique (LRI - B\u00e2timents 650-660 Universit\u00e9 Paris-Sud 91405 Orsay Cedex - France)","IN-SITU - Situated interaction (PCRI - Universit\u00e9 de Paris-Sud, B\u00e2timent 650, 91405 ORSAY Cedex - France)"],"affiliations":[{"raw_affiliation_string":"CNRS & Inria, Universit\u00e9 Paris-Sud","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LRI - Laboratoire de Recherche en Informatique (LRI - B\u00e2timents 650-660 Universit\u00e9 Paris-Sud 91405 Orsay Cedex - France)","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I4210144804"]},{"raw_affiliation_string":"IN-SITU - Situated interaction (PCRI - Universit\u00e9 de Paris-Sud, B\u00e2timent 650, 91405 ORSAY Cedex - France)","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002279044","display_name":"Fabian Fischer","orcid":"https://orcid.org/0009-0003-1761-2601"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Fischer","raw_affiliation_strings":["University of Konstanz","Chair for Data Analysis and Visualization (University of Konstanz Department of Computer and Information Science Box 78 78457 Konstanz, Germany - Germany)"],"affiliations":[{"raw_affiliation_string":"University of Konstanz","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"Chair for Data Analysis and Visualization (University of Konstanz Department of Computer and Information Science Box 78 78457 Konstanz, Germany - Germany)","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059742070","display_name":"Enrico Bertini","orcid":"https://orcid.org/0000-0001-9276-4590"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enrico Bertini","raw_affiliation_strings":["NYU Poly","Department of Computer Science and Engineering (United States)"],"affiliations":[{"raw_affiliation_string":"NYU Poly","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering (United States)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001876683"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":4.4484,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.95748769,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"12","first_page":"2251","last_page":"2260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9866999983787537,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9659000039100647,"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/glyph","display_name":"Glyph (data visualization)","score":0.905470609664917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7996500134468079},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7161637544631958},{"id":"https://openalex.org/keywords/star","display_name":"Star (game theory)","score":0.6067920327186584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5842127799987793},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5495041608810425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47662508487701416},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4418301284313202},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32156383991241455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11633312702178955}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.905470609664917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996500134468079},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7161637544631958},{"id":"https://openalex.org/C2780897414","wikidata":"https://www.wikidata.org/wiki/Q7600592","display_name":"Star (game theory)","level":2,"score":0.6067920327186584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5842127799987793},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5495041608810425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47662508487701416},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4418301284313202},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32156383991241455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11633312702178955},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tvcg.2014.2346426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2014.2346426","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:26356939","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26356939","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:CiteSeerX.psu:10.1.1.691.4812","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.691.4812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bib.dbvis.de/uploadedFiles/paper.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01023867v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01023867","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics, 2014, 20 (12), pp.2251-2260. ⟨10.1109/TVCG.2014.2346426⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01023867v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01023867","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics, 2014, 20 (12), pp.2251-2260. ⟨10.1109/TVCG.2014.2346426⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W161292523","https://openalex.org/W172846925","https://openalex.org/W605485546","https://openalex.org/W634106523","https://openalex.org/W649442099","https://openalex.org/W1532469653","https://openalex.org/W1539816672","https://openalex.org/W1622945079","https://openalex.org/W1655654231","https://openalex.org/W1823329909","https://openalex.org/W1966359569","https://openalex.org/W1984599090","https://openalex.org/W2018829410","https://openalex.org/W2029209814","https://openalex.org/W2029462860","https://openalex.org/W2041505905","https://openalex.org/W2046736307","https://openalex.org/W2054246890","https://openalex.org/W2072529824","https://openalex.org/W2074017502","https://openalex.org/W2097173901","https://openalex.org/W2112397756","https://openalex.org/W2117470435","https://openalex.org/W2136548420","https://openalex.org/W2137224043","https://openalex.org/W2141088087","https://openalex.org/W2152762220","https://openalex.org/W2155414356","https://openalex.org/W2163925089","https://openalex.org/W2164455316","https://openalex.org/W2164973575","https://openalex.org/W2478120758","https://openalex.org/W2738446327","https://openalex.org/W3104741959","https://openalex.org/W3145929700","https://openalex.org/W6632204558","https://openalex.org/W6636781701","https://openalex.org/W6682424397","https://openalex.org/W6684073280"],"related_works":["https://openalex.org/W2350092425","https://openalex.org/W2026649925","https://openalex.org/W91638230","https://openalex.org/W4225274103","https://openalex.org/W2013728941","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1893118838","https://openalex.org/W1574055964"],"abstract_inverted_index":{"We":[0,89],"conducted":[1,118,163],"three":[2,119],"experiments":[3],"to":[4,43,81,167,264,284],"investigate":[5],"the":[6,11,67,71,76,95,106,128,153,180,191,203,217,230,243,260,266,296],"effects":[7],"of":[8,13,57,70,98,130,155,171,182,193,205,219,237,268,271,298],"contours":[9,131,151,176,248,299],"on":[10,49,54,202,288,303],"detection":[12,154,181,204,267],"data":[14,27,33,45,58,72,85,93,143,156,183,281],"similarity":[15,111,157,220,276,282],"with":[16,141,225],"star":[17,21,77,100,194,223,232,245,304],"glyph":[18,22,195,246],"variations.":[19],"A":[20],"is":[23,66],"a":[24,31,99,164,186,235],"small,":[25],"compact,":[26],"graphic":[28],"that":[29,91,148,211,242],"represents":[30],"multi-dimensional":[32],"point.":[34],"Star":[35,173],"glyphs":[36,140,149,174,224],"are":[37,278],"often":[38],"used":[39],"in":[40,47,75,108,259],"small-multiple":[41],"settings,":[42,62],"represent":[44],"points":[46,73,86],"tables,":[48],"maps,":[50],"or":[51,87],"as":[52],"overlays":[53],"other":[55,83,269],"types":[56,270],"graphics.":[59],"In":[60,121,185],"these":[61,160,238,289],"an":[63],"important":[64],"task":[65],"visual":[68],"comparison":[69],"encoded":[74],"glyph,":[78],"for":[79,92,222,229],"example":[80],"find":[82],"similar":[84,142],"outliers.":[88],"hypothesized":[90],"comparisons,":[94],"overall":[96],"shape":[97,275],"glyph--enhanced":[101],"through":[102],"contour":[103],"lines--would":[104],"aid":[105],"viewer":[107],"making":[109],"accurate":[110],"judgments.":[112],"To":[113],"test":[114],"this":[115],"hypothesis,":[116],"we":[117,125,162,189,240,291],"experiments.":[120],"our":[122,208],"first":[123],"experiment,":[124,188],"explored":[126],"how":[127,133],"use":[129,297],"influenced":[132],"visualization":[134],"experts":[135],"and":[136,200,257,277,300],"trained":[137],"novices":[138],"chose":[139],"values.":[144],"Our":[145],"results":[146,209],"showed":[147],"without":[150,175,247],"make":[152],"easier.":[158],"Given":[159],"results,":[161],"second":[165],"study":[166],"understand":[168],"intuitive":[169],"notions":[170],"similarity.":[172,184,206],"most":[177],"intuitively":[178],"supported":[179],"third":[187],"tested":[190],"effect":[192],"reference":[196,213,301],"structures":[197,214,302],"(i.e.,":[198],"tickmarks":[199],"gridlines)":[201],"Surprisingly,":[207],"show":[210],"adding":[212],"does":[215],"improve":[216],"correctness":[218],"judgments":[221],"contours,":[226],"but":[227],"not":[228],"standard":[231],"glyph.":[233],"As":[234],"result":[236],"experiments,":[239],"conclude":[241],"simple":[244],"performs":[249],"best":[250],"under":[251],"several":[252],"criteria,":[253],"reinforcing":[254],"its":[255],"practice":[256],"popularity":[258],"literature.":[261],"Contours":[262],"seem":[263],"enhance":[265],"similarity,":[272],"e.":[273],"g.,":[274],"distracting":[279],"when":[280],"has":[283],"be":[285],"judged.":[286],"Based":[287],"findings":[290],"provide":[292],"design":[293],"considerations":[294],"regarding":[295],"glyphs.":[305]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}