{"id":"https://openalex.org/W2124960748","doi":"https://doi.org/10.1145/1140491.1140541","title":"Weaving versus blending","display_name":"Weaving versus blending","publication_year":2006,"publication_date":"2006-07-28","ids":{"openalex":"https://openalex.org/W2124960748","doi":"https://doi.org/10.1145/1140491.1140541","mag":"2124960748"},"language":"en","primary_location":{"id":"doi:10.1145/1140491.1140541","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1140491.1140541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd symposium on Applied perception in graphics and visualization","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/A5067811410","display_name":"Haleh Hagh-Shenas","orcid":null},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haleh Hagh-Shenas","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086764360","display_name":"Victoria Interrante","orcid":"https://orcid.org/0000-0002-3313-6663"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victoria Interrante","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013460936","display_name":"Christopher G. Healey","orcid":"https://orcid.org/0000-0002-2617-8638"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Healey","raw_affiliation_strings":["North Carolina State University","North Carolina State University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"North Carolina State University,","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654446","display_name":"Sung-Hee Kim","orcid":"https://orcid.org/0000-0001-9204-4868"},"institutions":[{"id":"https://openalex.org/I176113532","display_name":"Gettysburg College","ror":"https://ror.org/045e26x92","country_code":"US","type":"education","lineage":["https://openalex.org/I176113532"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunghee Kim","raw_affiliation_strings":["Gettysburg College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gettysburg College","institution_ids":["https://openalex.org/I176113532"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3155,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.62161344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9919999837875366,"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":0.9919999837875366,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.7631832957267761},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6895257234573364},{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.6695047616958618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5974464416503906},{"id":"https://openalex.org/keywords/weaving","display_name":"Weaving","score":0.5746318697929382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5240992307662964},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.5089719295501709},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45942404866218567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4355055093765259},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.43544572591781616},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.42570897936820984},{"id":"https://openalex.org/keywords/gloss","display_name":"Gloss (optics)","score":0.41297605633735657},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.1780897080898285},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1053301990032196},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07842832803726196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0755670964717865}],"concepts":[{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.7631832957267761},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6895257234573364},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.6695047616958618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974464416503906},{"id":"https://openalex.org/C54525549","wikidata":"https://www.wikidata.org/wiki/Q2553445","display_name":"Weaving","level":2,"score":0.5746318697929382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5240992307662964},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.5089719295501709},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45942404866218567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4355055093765259},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.43544572591781616},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.42570897936820984},{"id":"https://openalex.org/C143025027","wikidata":"https://www.wikidata.org/wiki/Q900581","display_name":"Gloss (optics)","level":3,"score":0.41297605633735657},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.1780897080898285},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1053301990032196},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07842832803726196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0755670964717865},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2781448156","wikidata":"https://www.wikidata.org/wiki/Q1570182","display_name":"Coating","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1140491.1140541","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1140491.1140541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd symposium on Applied perception in graphics and visualization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2003430873","https://openalex.org/W2025806643","https://openalex.org/W2090088512","https://openalex.org/W2090284774","https://openalex.org/W2091756462","https://openalex.org/W2121932969","https://openalex.org/W2126751313","https://openalex.org/W2144995353","https://openalex.org/W2479845879","https://openalex.org/W2610881169","https://openalex.org/W2798790754"],"related_works":["https://openalex.org/W3170402548","https://openalex.org/W2396354641","https://openalex.org/W2044382768","https://openalex.org/W2147617545","https://openalex.org/W2354474683","https://openalex.org/W1997075422","https://openalex.org/W2008681588","https://openalex.org/W2763031256","https://openalex.org/W2028896475","https://openalex.org/W2072998265"],"abstract_inverted_index":{"In":[0],"this":[1,233,274],"poster":[2],"we":[3,12,43,80,114,146],"present":[4],"the":[5,16,77,94,104,119,132,169,188,203,216,227,253,260,266,278],"results":[6,245],"of":[7,20,55,89,100,123,153,168,187,229,242,280],"two":[8,21],"experiments":[9],"in":[10,41,65,93,103,176,193,201,209],"which":[11,42,177,202],"seek":[13],"insight":[14],"into":[15],"fundamental":[17],"information-carrying":[18],"capacities":[19],"alternative":[22],"methods":[23],"for":[24],"encoding":[25],"multivariate":[26],"information":[27,256],"using":[28,172],"color:":[29],"color":[30,33,59,106,133,174,181,199,231,255],"blending":[31],"and":[32,67,157,272],"weaving":[34],"[1].We":[35],"begin":[36],"with":[37,277],"a":[38,87,98,140,165,178,210],"baseline":[39,121],"experiment,":[40,113,145],"assess":[44],"participants'":[45,148],"abilities":[46,149],"to":[47,117,129,138,150],"accurately":[48],"read":[49,151],"numerical":[50],"data":[51,160],"encoded":[52,171],"via":[53,62,184,259],"one":[54],"six":[56,82],"different":[57,159],"single-hued":[58],"scales":[60],"defined":[61,192],"joint":[63],"variations":[64],"saturation":[66,92],"luminance":[68,102],"from":[69],"6":[70,158,240],"base":[71,78],"colors":[72,206,267],"(fig":[73,270],"1).":[74],"To":[75],"obtain":[76],"colors,":[79,191],"selected":[81],"points":[83],"evenly":[84],"spaced":[85],"about":[86],"circle":[88],"large":[90],"constant":[91,101,230],"monitor":[95],"gamut":[96],"on":[97,131],"plane":[99],"Lab":[105,194],"space":[107,195],"(figure":[108,196,218],"2).":[109],"From":[110],"our":[111,143],"first":[112],"were":[115,127,268],"able":[116,128],"determine":[118],"average":[120],"level":[122],"accuracy":[124],"that":[125,214,226,247,273],"participants":[126],"achieve":[130],"matching":[134],"task":[135],"when":[136,252,265],"asked":[137],"match":[139],"single":[141,179],"color.In":[142],"main":[144],"assessed":[147],"combinations":[152],"2,":[154],"3,":[155],"4":[156],"values":[161],"simultaneously":[162],"represented":[163],"across":[164],"common":[166],"region":[167,217],"domain,":[170],"either":[173,237],"blending,":[175],"mixed":[180],"is":[182],"formed":[183],"linear":[185],"combination":[186],"individual":[189,204],"component":[190,205],"3),":[197],"or":[198,239],"weaving,":[200],"appear":[207],"side-by-side":[208],"high":[211,261],"frequency":[212,262],"texture":[213,234,263],"fills":[215],"4).":[219],"Participants'":[220],"viewing":[221],"distance":[222],"was":[223,249,257],"restricted":[224],"so":[225],"blocks":[228],"within":[232],"would":[235],"subtend":[236],"3":[238],"minutes":[241],"visual":[243],"angle.Our":[244],"indicate":[246],"performance":[248],"significantly":[250],"better":[251],"original":[254],"available":[258],"than":[264],"blended":[269],"5),":[271],"difference":[275],"increased":[276],"number":[279],"components.":[281]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
