{"id":"https://openalex.org/W3093510635","doi":"https://doi.org/10.1145/3379337.3415878","title":"DataHop: Spatial Data Exploration in Virtual Reality","display_name":"DataHop: Spatial Data Exploration in Virtual Reality","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3093510635","doi":"https://doi.org/10.1145/3379337.3415878","mag":"3093510635"},"language":"en","primary_location":{"id":"doi:10.1145/3379337.3415878","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3379337.3415878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology","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/A5062084765","display_name":"Devamardeep Hayatpur","orcid":"https://orcid.org/0000-0001-5984-9752"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Devamardeep Hayatpur","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016819583","display_name":"Haijun Xia","orcid":"https://orcid.org/0000-0002-9425-0881"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haijun Xia","raw_affiliation_strings":["University of California, San Diego, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083735800","display_name":"Daniel Wigdor","orcid":"https://orcid.org/0000-0003-2008-7070"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Daniel Wigdor","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062084765"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":3.8333,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.94807823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"818","last_page":"828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9987000226974487,"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":0.9987000226974487,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11904","display_name":"Spatial Cognition and Navigation","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8185348510742188},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.760228157043457},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.7308211326599121},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6803479194641113},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.6616816520690918},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.6549848318099976},{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.6431185007095337},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5987434387207031},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5672882795333862},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5033766627311707},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.4678405523300171},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4375488758087158},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.432158887386322},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.4142574667930603},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.27010607719421387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1618085503578186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14094477891921997},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10594797134399414},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.09831562638282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185348510742188},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.760228157043457},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.7308211326599121},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6803479194641113},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.6616816520690918},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.6549848318099976},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.6431185007095337},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5987434387207031},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5672882795333862},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5033766627311707},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.4678405523300171},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4375488758087158},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.432158887386322},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.4142574667930603},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27010607719421387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1618085503578186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14094477891921997},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10594797134399414},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.09831562638282776},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3379337.3415878","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3379337.3415878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1573698156","https://openalex.org/W1891568643","https://openalex.org/W2017718675","https://openalex.org/W2018246367","https://openalex.org/W2023199012","https://openalex.org/W2104892386","https://openalex.org/W2113261123","https://openalex.org/W2119111481","https://openalex.org/W2124293601","https://openalex.org/W2131304405","https://openalex.org/W2153361262","https://openalex.org/W2165428390","https://openalex.org/W2265312926","https://openalex.org/W2294831722","https://openalex.org/W2403041565","https://openalex.org/W2472612700","https://openalex.org/W2516530101","https://openalex.org/W2531274777","https://openalex.org/W2548000847","https://openalex.org/W2587816529","https://openalex.org/W2766823279","https://openalex.org/W2779141230","https://openalex.org/W2796044615","https://openalex.org/W2803959925","https://openalex.org/W2898122825","https://openalex.org/W2902942935","https://openalex.org/W2912481189","https://openalex.org/W2922172497","https://openalex.org/W2938343987","https://openalex.org/W2954490605","https://openalex.org/W2963034576","https://openalex.org/W2970548164","https://openalex.org/W3008443627","https://openalex.org/W3025544842","https://openalex.org/W3029572173","https://openalex.org/W3191221753","https://openalex.org/W4247178636","https://openalex.org/W4391876969","https://openalex.org/W6760431898","https://openalex.org/W6766243044"],"related_works":["https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2080934634","https://openalex.org/W2143428259","https://openalex.org/W348707231","https://openalex.org/W2081749267","https://openalex.org/W2112083262","https://openalex.org/W4378086562","https://openalex.org/W2056189874","https://openalex.org/W2013467770"],"abstract_inverted_index":{"Virtual":[0],"reality":[1,146],"has":[2],"recently":[3],"been":[4],"adopted":[5],"for":[6,36,57,156],"use":[7,31],"within":[8,23],"the":[9,53,89,116,149],"domain":[10],"of":[11,104,154],"visual":[12],"analytics":[13],"because":[14],"it":[15],"can":[16,26,87,167],"provide":[17],"users":[18,70,147],"with":[19,107,143],"an":[20],"endless":[21],"workspace":[22],"which":[24],"they":[25,91],"be":[27,113,129,168],"actively":[28],"engaged":[29],"and":[30,46,55,125,131,152,160],"their":[32,74],"spatial":[33,137],"reasoning":[34],"skills":[35],"data":[37,58,75,100,110,157],"analysis.":[38,59],"However,":[39],"virtual":[40,80,117,145],"worlds":[41],"need":[42],"to":[43,52,71,93],"utilize":[44],"layouts":[45],"organizational":[47],"schemes":[48],"that":[49,68,162],"are":[50],"meaningful":[51],"user":[54,86],"beneficial":[56,169],"This":[60],"paper":[61],"presents":[62],"DataHop,":[63],"a":[64,79,83,85,135],"novel":[65],"visualization":[66],"system":[67],"enables":[69],"lay":[72],"out":[73],"analysis":[76,158],"steps":[77],"in":[78,115],"environment.":[81,118],"With":[82],"Filter,":[84],"specify":[88],"modification":[90],"wish":[92],"perform":[94],"on":[95],"one":[96],"or":[97],"more":[98],"input":[99],"panels":[101,111],"(i.e.,":[102],"containers":[103],"points),":[105],"along":[106],"where":[108],"output":[109],"should":[112],"placed":[114],"Using":[119],"this":[120],"simple":[121],"tool,":[122],"highly":[123],"intricate":[124],"useful":[126],"visualizations":[127],"may":[128],"generated":[130],"traversed":[132],"by":[133],"harnessing":[134],"user's":[136],"abilities.":[138],"An":[139],"exploratory":[140],"study":[141],"conducted":[142],"six":[144],"evaluated":[148],"usability,":[150],"affordances,":[151],"performance":[153],"DataHop":[155],"tasks,":[159],"found":[161],"spatially":[163],"mapping":[164],"one's":[165],"workflow":[166],"when":[170],"exploring":[171],"multidimensional":[172],"datasets.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":6}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}