{"id":"https://openalex.org/W2907407389","doi":"https://doi.org/10.1186/s40537-018-0158-z","title":"The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight","display_name":"The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2907407389","doi":"https://doi.org/10.1186/s40537-018-0158-z","mag":"2907407389"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-018-0158-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0158-z","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0158-z","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0158-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022986615","display_name":"Jules Moloney","orcid":"https://orcid.org/0000-0003-4173-3908"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]},{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jules Moloney","raw_affiliation_strings":["Deakin University, 1 Gheringhap Street, Geelong, VIC, 3220, Australia","RMIT University, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4173-3908","affiliations":[{"raw_affiliation_string":"Deakin University, 1 Gheringhap Street, Geelong, VIC, 3220, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082575603","display_name":"Branka \u0160pehar","orcid":"https://orcid.org/0000-0002-3344-7162"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Branka Spehar","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019957105","display_name":"Anastasia Globa","orcid":"https://orcid.org/0000-0002-4749-5675"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anastasia Globa","raw_affiliation_strings":["Deakin University, 1 Gheringhap Street, Geelong, VIC, 3220, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University, 1 Gheringhap Street, Geelong, VIC, 3220, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100431291","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-6600-6937"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Deakin University, 1 Gheringhap Street, Geelong, VIC, 3220, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University, 1 Gheringhap Street, Geelong, VIC, 3220, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022986615"],"corresponding_institution_ids":["https://openalex.org/I149704539","https://openalex.org/I82951845"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.7422,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.77898719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.998199999332428,"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":0.998199999332428,"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":0.9549999833106995,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9537000060081482,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8065775632858276},{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.7698949575424194},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.6714768409729004},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5998944640159607},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.5500780344009399},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5077265501022339},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49116966128349304},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.46015670895576477},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4582184851169586},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.41487962007522583},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4127807021141052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24203938245773315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10621115565299988},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08924034237861633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065775632858276},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.7698949575424194},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6714768409729004},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5998944640159607},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.5500780344009399},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5077265501022339},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49116966128349304},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.46015670895576477},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4582184851169586},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.41487962007522583},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4127807021141052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24203938245773315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10621115565299988},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08924034237861633},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1186/s40537-018-0158-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0158-z","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0158-z","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:alma.61RMIT_INST:11248147750001341","is_oa":false,"landing_page_url":"https://link.springer.com/article/10.1186/s40537-018-0158-z","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:1b922fa70585457dae122257e849b284","is_oa":true,"landing_page_url":"https://doaj.org/article/1b922fa70585457dae122257e849b284","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 5, Iss 1, Pp 1-19 (2018)","raw_type":"article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30116438","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:figshare.com:article/20777164","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/The_affordance_of_virtual_reality_to_enable_the_sensory_representation_of_multi_dimensional_data_for_immersive_analytics_from_experience_to_insight/20777164","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s40537-018-0158-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-018-0158-z","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-018-0158-z","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2907407389.pdf","grobid_xml":"https://content.openalex.org/works/W2907407389.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W101855085","https://openalex.org/W1564412133","https://openalex.org/W1579854573","https://openalex.org/W1593163947","https://openalex.org/W1933657216","https://openalex.org/W1961379460","https://openalex.org/W1973174967","https://openalex.org/W1986063416","https://openalex.org/W1986780933","https://openalex.org/W1991671006","https://openalex.org/W2001923604","https://openalex.org/W2015781755","https://openalex.org/W2017363517","https://openalex.org/W2019966888","https://openalex.org/W2044116517","https://openalex.org/W2056478665","https://openalex.org/W2059117493","https://openalex.org/W2066380143","https://openalex.org/W2067981595","https://openalex.org/W2080957047","https://openalex.org/W2090687959","https://openalex.org/W2091909921","https://openalex.org/W2097917614","https://openalex.org/W2098034386","https://openalex.org/W2103032457","https://openalex.org/W2109505747","https://openalex.org/W2116958202","https://openalex.org/W2119111481","https://openalex.org/W2138199375","https://openalex.org/W2140648323","https://openalex.org/W2151530263","https://openalex.org/W2160287712","https://openalex.org/W2168438296","https://openalex.org/W2294857847","https://openalex.org/W2294884930","https://openalex.org/W2345855737","https://openalex.org/W2475726773","https://openalex.org/W2476656851","https://openalex.org/W2518486097","https://openalex.org/W2558091655","https://openalex.org/W2587816529","https://openalex.org/W2890250492","https://openalex.org/W3106476544","https://openalex.org/W3191221753","https://openalex.org/W4239907424","https://openalex.org/W4301141993"],"related_works":["https://openalex.org/W1972718289","https://openalex.org/W1791514435","https://openalex.org/W2346831895","https://openalex.org/W2248634132","https://openalex.org/W2295809616","https://openalex.org/W3049116993","https://openalex.org/W4210310791","https://openalex.org/W2062940763","https://openalex.org/W2937343495","https://openalex.org/W4360833258"],"abstract_inverted_index":{"Using":[0],"the":[1,23,92,126,140,148,167],"theory":[2],"of":[3,11,26,60,74,94,115,128,137,142,152],"affordance":[4],"from":[5],"perceptual":[6],"psychology":[7],"and":[8,17,69,110,139,150],"through":[9,71],"discussion":[10],"literature":[12],"within":[13,77],"visual":[14,161],"data":[15,28,75,104,162,183],"mining":[16,163],"immersive":[18,98],"analytics,":[19],"a":[20,100,132,178],"position":[21],"for":[22,97,147,181],"multi-sensory":[24],"representation":[25],"big":[27,182],"using":[29],"virtual":[30,42,81],"reality":[31],"(VR)":[32],"is":[33,54],"developed.":[34],"While":[35,154],"it":[36,155],"would":[37],"seem":[38],"counter":[39],"intuitive,":[40],"information-dense":[41],"environments":[43],"are":[44],"theoretically":[45],"easier":[46],"to":[47,103,158,165,170,186],"process":[48],"than":[49],"simplified":[50],"graphic":[51],"encoding\u2014if":[52],"there":[53],"alignment":[55],"with":[56,113,119],"human":[57,171],"ecological":[58,168],"perception":[59,172],"natural":[61,116,124],"environments.":[62,82],"Potentially,":[63],"VR":[64,95],"affords":[65],"insight":[66],"into":[67],"patterns":[68,146],"anomalies":[70],"dynamic":[72],"experience":[73],"representations":[76],"interactive,":[78],"kinaesthetic":[79,111],"audio-visual":[80],"To":[83],"this":[84,175],"end":[85],"we":[86],"articulate":[87],"principles":[88],"that":[89,106,122],"can":[90],"inform":[91],"development":[93],"applications":[96],"analytics:":[99],"mimetic":[101],"approach":[102,169],"mapping":[105],"aligns":[107],"spatial,":[108],"aural":[109],"attributes":[112],"abstractions":[114],"environments;":[117],"layered":[118],"constructed":[120],"features":[121],"complement":[123],"structures;":[125],"use":[127],"cross-modal":[129],"sensory":[130],"mapping;":[131],"focus":[133],"on":[134],"intermediate":[135],"levels":[136],"contrast;":[138],"adaptation":[141],"naturally":[143],"occurring":[144],"distribution":[145,151],"granularity":[149],"data.":[153],"appears":[156],"problematic":[157],"directly":[159],"translate":[160],"techniques":[164],"VR,":[166],"discussed":[173],"in":[174],"article":[176],"provides":[177],"new":[179],"framework":[180],"visualization":[184],"researchers":[185],"consider.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}