{"id":"https://openalex.org/W1986780933","doi":"https://doi.org/10.1109/hpec.2015.7322473","title":"Improving Big Data visual analytics with interactive virtual reality","display_name":"Improving Big Data visual analytics with interactive virtual reality","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1986780933","doi":"https://doi.org/10.1109/hpec.2015.7322473","mag":"1986780933"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2015.7322473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2015.7322473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1506.08754","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Andrew Moran","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrew Moran","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge, Massachusetts"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge, Massachusetts","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vijay Gadepally","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Gadepally","raw_affiliation_strings":["Massachusetts Insitute of Technology Lincoln Laboratory, Lexington, Massachusetts"],"affiliations":[{"raw_affiliation_string":"Massachusetts Insitute of Technology Lincoln Laboratory, Lexington, Massachusetts","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Matthew Hubbell","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Hubbell","raw_affiliation_strings":["Massachusetts Insitute of Technology Lincoln Laboratory, Lexington, Massachusetts"],"affiliations":[{"raw_affiliation_string":"Massachusetts Insitute of Technology Lincoln Laboratory, Lexington, Massachusetts","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jeremy Kepner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremy Kepner","raw_affiliation_strings":["Massachusetts Insitute of Technology Lincoln Laboratory, Lexington, Massachusetts"],"affiliations":[{"raw_affiliation_string":"Massachusetts Insitute of Technology Lincoln Laboratory, Lexington, Massachusetts","institution_ids":["https://openalex.org/I4210122954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":2.0596,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.91225182,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9603000283241272,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7200999855995178},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6621999740600586},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.580299973487854},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5734000205993652},{"id":"https://openalex.org/keywords/cultural-analytics","display_name":"Cultural analytics","score":0.5699999928474426},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5217999815940857},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.49619999527931213},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.451200008392334},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.4334999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652999758720398},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7200999855995178},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6722999811172485},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6621999740600586},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.580299973487854},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5734000205993652},{"id":"https://openalex.org/C545860419","wikidata":"https://www.wikidata.org/wiki/Q5193251","display_name":"Cultural analytics","level":5,"score":0.5699999928474426},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5554999709129333},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5217999815940857},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.49619999527931213},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.451200008392334},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.37209999561309814},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.37049999833106995},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.33500000834465027},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.323199987411499},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.3125999867916107},{"id":"https://openalex.org/C12380541","wikidata":"https://www.wikidata.org/wiki/Q58300","display_name":"Geovisualization","level":4,"score":0.3084999918937683},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C72568745","wikidata":"https://www.wikidata.org/wiki/Q12812953","display_name":"Human-centered computing","level":3,"score":0.30219998955726624},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C171981572","wikidata":"https://www.wikidata.org/wiki/Q7554239","display_name":"Software analytics","level":5,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hpec.2015.7322473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2015.7322473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1506.08754","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1506.08754","pdf_url":"https://arxiv.org/pdf/1506.08754","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1506.08754","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1506.08754","pdf_url":"https://arxiv.org/pdf/1506.08754","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1964027644","https://openalex.org/W2045275141","https://openalex.org/W2101196063","https://openalex.org/W2116958202","https://openalex.org/W2125584498","https://openalex.org/W2135610683","https://openalex.org/W2135614518","https://openalex.org/W2138199375","https://openalex.org/W2142990738","https://openalex.org/W2151530263","https://openalex.org/W2541026678","https://openalex.org/W6602586656","https://openalex.org/W6628929405","https://openalex.org/W6633087590"],"related_works":[],"abstract_inverted_index":{"For":[0],"decades,":[1],"the":[2,51,69,77,94,122,128,143,149,175,202,220,258],"growth":[3],"and":[4,20,61,80,92,114,165,189,204,216,222,253,262],"volume":[5,221],"of":[6,18,29,41,53,124,224,242,260],"digital":[7],"data":[8,78,105],"collection":[9],"has":[10,31],"made":[11],"it":[12,63],"challenging":[13],"to":[14,68,84,88,147,170,185,200,207,213,219,244],"digest":[15],"large":[16],"volumes":[17],"information":[19,30,150],"extract":[21],"underlying":[22],"structure.":[23],"Coined":[24],"`Big":[25],"Data',":[26],"massive":[27],"amounts":[28],"quite":[32],"often":[33],"been":[34,74],"gathered":[35],"inconsistently":[36],"(e.g":[37],"from":[38],"many":[39],"sources,":[40],"various":[42],"forms,":[43],"at":[44],"different":[45],"rates,":[46],"etc.).":[47],"These":[48],"factors":[49],"impede":[50],"practices":[52],"not":[54],"only":[55],"processing":[56],"data,":[57,144],"but":[58],"also":[59],"analyzing":[60],"displaying":[62],"in":[64,76,127,151],"an":[65,161],"efficient":[66],"manner":[67],"user.":[70],"Many":[71],"efforts":[72],"have":[73],"completed":[75],"mining":[79],"visual":[81,106],"analytics":[82,107,141],"community":[83],"create":[85,245],"effective":[86],"ways":[87],"further":[89],"improve":[90],"analysis":[91],"achieve":[93,160],"knowledge":[95],"desired":[96,214],"for":[97,102,237],"better":[98],"understanding.":[99],"Our":[100],"approach":[101],"improved":[103],"big":[104,264],"is":[108],"two-fold,":[109],"focusing":[110],"on":[111,142,167,174,234],"both":[112],"visualization":[113,252],"interaction.":[115],"Given":[116],"geo-tagged":[117],"information,":[118],"we":[119,145,227],"are":[120],"exploring":[121],"benefits":[123],"visualizing":[125,232],"datasets":[126],"original":[129],"geospatial":[130],"domain":[131],"by":[132],"utilizing":[133],"a":[134,152,180,192,229,246],"virtual":[135],"reality":[136],"platform.":[137],"After":[138],"running":[139],"proven":[140],"intend":[146],"represent":[148],"more":[153,193],"realistic":[154],"3D":[155,230],"setting,":[156],"where":[157],"analysts":[158],"can":[159,197,255],"enhanced":[162],"situational":[163],"awareness":[164],"rely":[166],"familiar":[168],"perceptions":[169],"draw":[171],"in-depth":[172],"conclusions":[173],"dataset.":[176],"In":[177],"addition,":[178],"developing":[179],"human-computer":[181],"interface":[182],"that":[183,250],"responds":[184],"natural":[186],"user":[187],"actions":[188],"inputs":[190],"creates":[191],"intuitive":[194],"environment.":[195],"Tasks":[196],"be":[198],"performed":[199],"manipulate":[201],"dataset":[203],"allow":[205],"users":[206],"dive":[208],"deeper":[209],"upon":[210],"request,":[211],"adhering":[212],"demands":[215],"intentions.":[217],"Due":[218],"popularity":[223],"social":[225],"media,":[226],"developed":[228],"tool":[231,249],"Twitter":[233],"MIT's":[235],"campus":[236],"analysis.":[238],"Utilizing":[239],"emerging":[240],"technologies":[241],"today":[243],"fully":[247],"immersive":[248],"promotes":[251],"interaction":[254],"help":[256],"ease":[257],"process":[259],"understanding":[261],"representing":[263],"data.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}