{"id":"https://openalex.org/W2509389651","doi":"https://doi.org/10.1109/tlt.2017.2757481","title":"Be the Data: Embodied Visual Analytics","display_name":"Be the Data: Embodied Visual Analytics","publication_year":2017,"publication_date":"2017-09-28","ids":{"openalex":"https://openalex.org/W2509389651","doi":"https://doi.org/10.1109/tlt.2017.2757481","mag":"2509389651"},"language":"en","primary_location":{"id":"doi:10.1109/tlt.2017.2757481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tlt.2017.2757481","pdf_url":null,"source":{"id":"https://openalex.org/S130363450","display_name":"IEEE Transactions on Learning Technologies","issn_l":"1939-1382","issn":["1939-1382","2372-0050"],"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 Learning Technologies","raw_type":"journal-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":null,"display_name":"Xin Chen","orcid":"https://orcid.org/0000-0001-7775-8117"},"institutions":[{"id":"https://openalex.org/I1299907687","display_name":"Bloomberg (United States)","ror":"https://ror.org/02rdpzb15","country_code":"US","type":"company","lineage":["https://openalex.org/I1299907687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["Bloomberg, New York, NY"],"raw_orcid":"https://orcid.org/0000-0001-7775-8117","affiliations":[{"raw_affiliation_string":"Bloomberg, New York, NY","institution_ids":["https://openalex.org/I1299907687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043058357","display_name":"Jessica Zeitz Self","orcid":"https://orcid.org/0000-0001-8106-4572"},"institutions":[{"id":"https://openalex.org/I191484440","display_name":"University of Mary Washington","ror":"https://ror.org/03b48gv34","country_code":"US","type":"education","lineage":["https://openalex.org/I191484440"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Zeitz Self","raw_affiliation_strings":["University of Mary Washington, Fredericksburg, VA, US"],"raw_orcid":"https://orcid.org/0000-0001-8106-4572","affiliations":[{"raw_affiliation_string":"University of Mary Washington, Fredericksburg, VA, US","institution_ids":["https://openalex.org/I191484440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113555684","display_name":"Leanna House","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leanna House","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA, US","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061311189","display_name":"John Wenskovitch","orcid":"https://orcid.org/0000-0002-0573-6442"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Wenskovitch","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA, US"],"raw_orcid":"https://orcid.org/0000-0002-0573-6442","affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA, US","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030293804","display_name":"Maoyuan Sun","orcid":"https://orcid.org/0000-0002-0990-2620"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maoyuan Sun","raw_affiliation_strings":["University of Massachusetts Dartmouth, Dartmouth, MA, US"],"raw_orcid":"https://orcid.org/0000-0002-0990-2620","affiliations":[{"raw_affiliation_string":"University of Massachusetts Dartmouth, Dartmouth, MA, US","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021501780","display_name":"Nathan Wycoff","orcid":"https://orcid.org/0000-0002-0336-7401"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Wycoff","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA, US","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014652362","display_name":"Jane Robertson Evia","orcid":"https://orcid.org/0000-0003-4196-9814"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jane Robertson Evia","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA, US"],"raw_orcid":"https://orcid.org/0000-0003-4196-9814","affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA, US","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062711342","display_name":"Scotland Leman","orcid":"https://orcid.org/0000-0003-3138-8397"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scotland Leman","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA, US","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037675411","display_name":"Chris North","orcid":"https://orcid.org/0000-0002-8786-7103"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris North","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA, US","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7472,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.76389215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"81","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9988999962806702,"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":0.9988999962806702,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9908000230789185,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9781000018119812,"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":0.7108432054519653},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.7008056640625},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6319641470909119},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5792255997657776},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5564480423927307},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5363095998764038},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5227879881858826},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4903604984283447},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.485072523355484},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.48427528142929077},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4684070944786072},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.447174072265625},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.42730921506881714},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.42010000348091125},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41298022866249084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35633161664009094},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35311204195022583},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20882830023765564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17551115155220032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14939221739768982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11790278553962708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7108432054519653},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.7008056640625},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6319641470909119},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5792255997657776},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5564480423927307},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5363095998764038},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5227879881858826},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4903604984283447},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.485072523355484},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.48427528142929077},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4684070944786072},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.447174072265625},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.42730921506881714},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41298022866249084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35633161664009094},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35311204195022583},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20882830023765564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17551115155220032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14939221739768982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11790278553962708},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tlt.2017.2757481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tlt.2017.2757481","pdf_url":null,"source":{"id":"https://openalex.org/S130363450","display_name":"IEEE Transactions on Learning Technologies","issn_l":"1939-1382","issn":["1939-1382","2372-0050"],"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 Learning Technologies","raw_type":"journal-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/72287","is_oa":false,"landing_page_url":"http://hdl.handle.net/10919/72287","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"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":"Thesis"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309380","display_name":"Gannon University","ror":"https://ror.org/02y041669"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W104720311","https://openalex.org/W1586980550","https://openalex.org/W1965310226","https://openalex.org/W1969045498","https://openalex.org/W1977550631","https://openalex.org/W1980510330","https://openalex.org/W1984622973","https://openalex.org/W1988942097","https://openalex.org/W1989408235","https://openalex.org/W1993503217","https://openalex.org/W1996881001","https://openalex.org/W1997447598","https://openalex.org/W1997901969","https://openalex.org/W2012354198","https://openalex.org/W2037133710","https://openalex.org/W2037205988","https://openalex.org/W2043220715","https://openalex.org/W2050896993","https://openalex.org/W2066699772","https://openalex.org/W2091288935","https://openalex.org/W2093903345","https://openalex.org/W2102848110","https://openalex.org/W2105999656","https://openalex.org/W2115517714","https://openalex.org/W2130828870","https://openalex.org/W2132076362","https://openalex.org/W2132317457","https://openalex.org/W2132429517","https://openalex.org/W2137359451","https://openalex.org/W2141385588","https://openalex.org/W2145992510","https://openalex.org/W2157853130","https://openalex.org/W2158062194","https://openalex.org/W2159262688","https://openalex.org/W2202244449","https://openalex.org/W2293040502","https://openalex.org/W2294884930","https://openalex.org/W2319457531","https://openalex.org/W2594246650","https://openalex.org/W2612590777","https://openalex.org/W4234385570","https://openalex.org/W4239907424","https://openalex.org/W4246354968","https://openalex.org/W4248681815","https://openalex.org/W4249468442","https://openalex.org/W4290182923","https://openalex.org/W6676003463"],"related_works":["https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2080934634","https://openalex.org/W1558485007","https://openalex.org/W2143428259","https://openalex.org/W348707231","https://openalex.org/W2081749267","https://openalex.org/W2112083262","https://openalex.org/W4378086562","https://openalex.org/W2056189874"],"abstract_inverted_index":{"With":[0],"the":[1,86,90,113,126,133,161,165,199,201],"rise":[2],"of":[3,14,73,92,115,125],"big":[4],"data,":[5],"it":[6,41],"is":[7],"becoming":[8],"increasingly":[9],"important":[10],"to":[11,43,65,88,97,137,140,163,204,207],"educate":[12],"groups":[13,188],"students":[15,25,67,116,156,184,206],"at":[16],"many":[17],"educational":[18,181],"levels":[19],"about":[20,68,149,160,172,210],"data":[21,38,75,110,151,162,192,212],"analytics.":[22],"In":[23,53,102,153],"particular,":[24],"without":[26],"a":[27,83,109,118,122],"strong":[28],"mathematical":[29],"background":[30],"may":[31],"have":[32],"an":[33,58],"unenthusiastic":[34],"attitude":[35],"towards":[36],"high-dimensional":[37,74,100,127,177,211],"and":[39,112,145,213],"find":[40],"challenging":[42],"understand":[44],"relevant":[45,150],"complex":[46,173,191],"analytical":[47,193],"methods,":[48],"such":[49,175],"as":[50,168,170,176],"dimension":[51],"reduction.":[52],"this":[54,154],"paper,":[55],"we":[56],"present":[57],"embodied":[59,95],"approach":[60],"for":[61],"visual":[62,147],"analytics":[63],"designed":[64],"teach":[66],"exploring":[69],"alternative":[70,143],"2D":[71,123],"projections":[72,144],"points":[76],"using":[77,93],"weighted":[78],"multidimensional":[79],"scaling.":[80],"We":[81,179],"propose":[82],"novel":[84],"concept,Be":[85],"Data,":[87],"explore":[89],"possibilities":[91],"human's":[94],"resources":[96],"learn":[98,171,209],"from":[99],"data.":[101,128],"our":[103],"implemented":[104],"system,":[105],"each":[106,138],"student":[107],"embodies":[108],"point,":[111],"position":[114],"in":[117,185,190],"physical":[119],"space":[120],"represents":[121],"projection":[124],"Students":[129],"physically":[130],"move":[131],"within":[132],"room":[134],"with":[135,183],"respect":[136],"other":[139],"collaboratively":[141],"construct":[142],"receive":[146],"feedback":[148],"dimensions.":[152],"way,":[155],"can":[157],"pose":[158],"hypotheses":[159],"discover":[164],"statistical":[166],"support":[167],"well":[169],"concepts":[174],"distance.":[178],"conducted":[180],"workshops":[182],"various":[186],"age":[187],"inexperienced":[189],"methods.":[194],"Our":[195],"findings":[196],"indicate":[197],"thatBe":[198],"Dataprovided":[200],"necessary":[202],"engagement":[203],"enable":[205],"quickly":[208],"analysis":[214],"processes":[215],"despite":[216],"their":[217],"minimal":[218],"prior":[219],"knowledge.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}