{"id":"https://openalex.org/W4387880537","doi":"https://doi.org/10.1145/3618257.3624833","title":"Demystifying Web-based Mobile Extended Reality Accelerated by WebAssembly","display_name":"Demystifying Web-based Mobile Extended Reality Accelerated by WebAssembly","publication_year":2023,"publication_date":"2023-10-23","ids":{"openalex":"https://openalex.org/W4387880537","doi":"https://doi.org/10.1145/3618257.3624833"},"language":"en","primary_location":{"id":"doi:10.1145/3618257.3624833","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618257.3624833","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618257.3624833","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM on Internet Measurement Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3618257.3624833","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016488771","display_name":"Kaiyan Liu","orcid":"https://orcid.org/0009-0009-8663-0698"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kaiyan Liu","raw_affiliation_strings":["Geogre Mason University, Fairfax, VA, USA"],"raw_orcid":"https://orcid.org/0009-0009-8663-0698","affiliations":[{"raw_affiliation_string":"Geogre Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057560778","display_name":"Nan Wu","orcid":"https://orcid.org/0000-0003-4875-2941"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Wu","raw_affiliation_strings":["George Mason University, Fairfax, VA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4875-2941","affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078582134","display_name":"Bo Han","orcid":"https://orcid.org/0000-0001-7042-3322"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Han","raw_affiliation_strings":["George Mason University, Fairfax, VA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7042-3322","affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016488771"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.5887,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69447417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9995999932289124,"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/T10888","display_name":"Augmented Reality Applications","score":0.9995999932289124,"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":0.9959999918937683,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9912999868392944,"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":0.754708468914032},{"id":"https://openalex.org/keywords/bytecode","display_name":"Bytecode","score":0.6085472702980042},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5351650714874268},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4533764719963074},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.42288070917129517},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.4109257459640503},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14219418168067932},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.13592880964279175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754708468914032},{"id":"https://openalex.org/C2779818221","wikidata":"https://www.wikidata.org/wiki/Q837330","display_name":"Bytecode","level":3,"score":0.6085472702980042},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5351650714874268},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4533764719963074},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42288070917129517},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.4109257459640503},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14219418168067932},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.13592880964279175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3618257.3624833","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618257.3624833","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618257.3624833","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM on Internet Measurement Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3618257.3624833","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3618257.3624833","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3618257.3624833","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM on Internet Measurement Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1666539288","display_name":null,"funder_award_id":"CNS-2235049","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G691695947","display_name":null,"funder_award_id":"CNS-2212296","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8845992439","display_name":"Collaborative Research: CCRI: New: CoMIC: A Collaborative Mobile Immersive Computing Research Infrastructure for Multi-user XR","funder_award_id":"2235049","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387880537.pdf","grobid_xml":"https://content.openalex.org/works/W4387880537.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2052789583","https://openalex.org/W2060964919","https://openalex.org/W2117228865","https://openalex.org/W2293404936","https://openalex.org/W2468651315","https://openalex.org/W2625141509","https://openalex.org/W2762989410","https://openalex.org/W2787507116","https://openalex.org/W2838572662","https://openalex.org/W2888822874","https://openalex.org/W2896416526","https://openalex.org/W2898344194","https://openalex.org/W2915609635","https://openalex.org/W2942094826","https://openalex.org/W2943381049","https://openalex.org/W2963699895","https://openalex.org/W2983038091","https://openalex.org/W2999276659","https://openalex.org/W3088076788","https://openalex.org/W3113463724","https://openalex.org/W3125312763","https://openalex.org/W3134757676","https://openalex.org/W3155555003","https://openalex.org/W3156742584","https://openalex.org/W3208467797","https://openalex.org/W3209002111","https://openalex.org/W3211290491","https://openalex.org/W4206685041","https://openalex.org/W4211228497","https://openalex.org/W4213053765","https://openalex.org/W4220899034","https://openalex.org/W4224230548","https://openalex.org/W4254275539","https://openalex.org/W4282961825","https://openalex.org/W4282962713","https://openalex.org/W4285289980","https://openalex.org/W4285326818","https://openalex.org/W4289518026","https://openalex.org/W4367046859"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1889284597","https://openalex.org/W2140009967","https://openalex.org/W20625830","https://openalex.org/W4379620208","https://openalex.org/W2041803215","https://openalex.org/W2965913753","https://openalex.org/W2128389850","https://openalex.org/W3100733828","https://openalex.org/W2011442434"],"abstract_inverted_index":{"By":[0],"combining":[1],"various":[2,126,159],"emerging":[3,160],"technologies,":[4],"mobile":[5],"extended":[6],"reality":[7],"(XR)":[8],"blends":[9],"the":[10,56,97,145],"real":[11],"world":[12],"with":[13,46,79,109,158],"virtual":[14],"content":[15],"to":[16,58,95,154],"create":[17],"a":[18,51,89,130,155],"spectrum":[19],"of":[20,99,147],"immersive":[21,149],"experiences.":[22],"Although":[23],"Web-based":[24,61,76,100,135],"XR":[25,62,77,101,123],"can":[26,120,143],"offer":[27],"attractive":[28],"features":[29],"such":[30],"as":[31],"better":[32],"accessibility,":[33],"cross-platform":[34],"compatibility,":[35],"and":[36,92,136],"instant":[37],"updates,":[38],"its":[39,47],"performance":[40,98,132],"may":[41],"not":[42],"be":[43],"on":[44,105],"par":[45],"standalone":[48,137],"counterpart.":[49],"As":[50],"low-level":[52],"bytecode,":[53],"WebAssembly":[54,80,104],"has":[55,70],"potential":[57],"drastically":[59],"accelerate":[60,121],"by":[63,103],"enabling":[64],"near-native":[65],"execution":[66],"speed.":[67],"However,":[68],"little":[69],"been":[71],"known":[72],"about":[73],"how":[74],"well":[75],"performs":[78],"acceleration.":[81],"To":[82],"bridge":[83],"this":[84],"crucial":[85],"gap,":[86],"we":[87],"conduct":[88],"first-of-its-kind":[90],"systematic":[91],"empirical":[93],"study":[94],"analyze":[96],"expedited":[102],"four":[106],"diverse":[107],"platforms":[108],"five":[110],"different":[111,122],"browsers.":[112],"Our":[113],"measurement":[114],"results":[115],"reveal":[116],"that":[117,151],"although":[118],"WebAssemlby":[119],"tasks":[124],"in":[125],"contexts,":[127],"there":[128],"remains":[129],"substantial":[131],"disparity":[133],"between":[134],"XR.":[138],"We":[139],"hope":[140],"our":[141],"findings":[142],"foster":[144],"realization":[146],"an":[148],"Web":[150],"is":[152],"accessible":[153],"wider":[156],"audience":[157],"technologies.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}