{"id":"https://openalex.org/W2110890346","doi":"https://doi.org/10.1145/2207676.2208556","title":"Comparing averages in time series data","display_name":"Comparing averages in time series data","publication_year":2012,"publication_date":"2012-05-05","ids":{"openalex":"https://openalex.org/W2110890346","doi":"https://doi.org/10.1145/2207676.2208556","mag":"2110890346"},"language":"en","primary_location":{"id":"doi:10.1145/2207676.2208556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2207676.2208556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI 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/A5036300289","display_name":"Michael Correll","orcid":"https://orcid.org/0000-0001-7902-3907"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Correll","raw_affiliation_strings":["University of Wisconsin - Madison, Madison, Wisconsin, United States"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin - Madison, Madison, Wisconsin, United States","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037585630","display_name":"Danielle Albers","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danielle Albers","raw_affiliation_strings":["University of Wisconsin - Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin - Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043405353","display_name":"Steven Franconeri","orcid":"https://orcid.org/0000-0001-5244-9764"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Franconeri","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084778474","display_name":"Michael Gleicher","orcid":"https://orcid.org/0000-0003-3295-4071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gleicher","raw_affiliation_strings":["University of Wisconsin - Madison, Madison, Madison, Wisconsin, United States","University of Wisconsin - Madison, Madison, Madison, Wisconsin, United States#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin - Madison, Madison, Madison, Wisconsin, United States","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin - Madison, Madison, Madison, Wisconsin, United States#TAB#","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036300289"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":3.3383,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.9337661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1095","last_page":"1104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9657999873161316,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6783596277236938},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6562958359718323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.651651918888092},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.614488422870636},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5200856924057007},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5065730810165405},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4130237102508545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4004653990268707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34778475761413574},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19502755999565125},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1588928997516632}],"concepts":[{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6783596277236938},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6562958359718323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651651918888092},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.614488422870636},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5200856924057007},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5065730810165405},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4130237102508545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4004653990268707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34778475761413574},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19502755999565125},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1588928997516632},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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:10.1145/2207676.2208556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2207676.2208556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W137753049","https://openalex.org/W651170604","https://openalex.org/W1525673468","https://openalex.org/W1554947157","https://openalex.org/W1603831766","https://openalex.org/W1971781829","https://openalex.org/W1974533064","https://openalex.org/W1983547589","https://openalex.org/W1983726079","https://openalex.org/W1992903591","https://openalex.org/W1993091629","https://openalex.org/W2029744425","https://openalex.org/W2034676897","https://openalex.org/W2041633421","https://openalex.org/W2053897210","https://openalex.org/W2069708038","https://openalex.org/W2072263833","https://openalex.org/W2074618668","https://openalex.org/W2084279352","https://openalex.org/W2094054668","https://openalex.org/W2099840845","https://openalex.org/W2101649126","https://openalex.org/W2106480295","https://openalex.org/W2108713782","https://openalex.org/W2108752418","https://openalex.org/W2114269021","https://openalex.org/W2114566476","https://openalex.org/W2117470435","https://openalex.org/W2120422643","https://openalex.org/W2121418890","https://openalex.org/W2139437238","https://openalex.org/W2142493242","https://openalex.org/W2151401338","https://openalex.org/W2153581683","https://openalex.org/W2155123448","https://openalex.org/W2157456011","https://openalex.org/W2165467901","https://openalex.org/W2336763592","https://openalex.org/W3014382488","https://openalex.org/W3123895079","https://openalex.org/W4239515185"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W2485872624","https://openalex.org/W4390822878","https://openalex.org/W2023578311","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Visualizations":[0],"often":[1],"seek":[2],"to":[3,16,73],"aid":[4],"viewers":[5],"in":[6,11,44],"assessing":[7],"the":[8,12,23,61,92],"big":[9],"picture":[10],"data,":[13],"that":[14,69,86],"is,":[15],"make":[17,77],"judgments":[18,78],"about":[19],"aggregate":[20,36],"properties":[21],"of":[22,33,41,52],"data.":[24],"In":[25],"this":[26,87],"paper,":[27],"we":[28],"present":[29],"an":[30,67],"empirical":[31],"study":[32],"a":[34,45,50,56,101],"representative":[35],"judgment":[37],"task:":[38],"finding":[39],"regions":[40],"maximum":[42],"average":[43],"series.":[46],"We":[47,65],"show":[48],"how":[49],"theory":[51],"perceptual":[53,102],"averaging":[54,103],"suggests":[55],"visual":[57],"design":[58],"other":[59],"than":[60],"typically-used":[62],"line":[63],"graph.":[64],"describe":[66],"experiment":[68,84,96],"assesses":[70],"participants'":[71],"ability":[72],"estimate":[74],"averages":[75],"and":[76],"based":[79],"on":[80],"these":[81],"averages.":[82],"The":[83,95],"confirms":[85],"color":[88],"encoding":[89],"significantly":[90],"outperforms":[91],"standard":[93],"practice.":[94],"also":[97],"provides":[98],"evidence":[99],"for":[100],"theory.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}