{"id":"https://openalex.org/W7140875764","doi":"https://doi.org/10.1109/aixvr67263.2026.00017","title":"Prediction of Cybersickness Symptoms in Virtual Reality Using Prototypical Networks","display_name":"Prediction of Cybersickness Symptoms in Virtual Reality Using Prototypical Networks","publication_year":2026,"publication_date":"2026-01-26","ids":{"openalex":"https://openalex.org/W7140875764","doi":"https://doi.org/10.1109/aixvr67263.2026.00017"},"language":null,"primary_location":{"id":"doi:10.1109/aixvr67263.2026.00017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aixvr67263.2026.00017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)","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/A5113943431","display_name":"Arghya Das Dev","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anjan Kumar Dev","raw_affiliation_strings":["University of Texas at San Antonio"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084343243","display_name":"John Quarles","orcid":"https://orcid.org/0000-0002-4790-167X"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Quarles","raw_affiliation_strings":["University of Texas at San Antonio"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130700524","display_name":"Maryam Tabar","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Tabar","raw_affiliation_strings":["University of Texas at San Antonio"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113943431"],"corresponding_institution_ids":["https://openalex.org/I45438204"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91243805,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.15870000422000885,"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"}},"topics":[{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.15870000422000885,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.07190000265836716,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.045099999755620956,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.6442000269889832},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3012999892234802},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.2572999894618988}],"concepts":[{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6442000269889832},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5116000175476074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42419999837875366},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.37709999084472656},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3653999865055084},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.298799991607666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29019999504089355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aixvr67263.2026.00017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aixvr67263.2026.00017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)","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":34,"referenced_works":["https://openalex.org/W1982412788","https://openalex.org/W2032456459","https://openalex.org/W2088252378","https://openalex.org/W2115733720","https://openalex.org/W2148158693","https://openalex.org/W2157364932","https://openalex.org/W2158698691","https://openalex.org/W2557593045","https://openalex.org/W2561291267","https://openalex.org/W2913340405","https://openalex.org/W2959304440","https://openalex.org/W3040909919","https://openalex.org/W3112408997","https://openalex.org/W3134586965","https://openalex.org/W3171095384","https://openalex.org/W3172931125","https://openalex.org/W3190129398","https://openalex.org/W3208497351","https://openalex.org/W4224297802","https://openalex.org/W4289420954","https://openalex.org/W4304163426","https://openalex.org/W4312691565","https://openalex.org/W4327522253","https://openalex.org/W4367662941","https://openalex.org/W4377943464","https://openalex.org/W4386453706","https://openalex.org/W4389314051","https://openalex.org/W4399267731","https://openalex.org/W4399666301","https://openalex.org/W4400762160","https://openalex.org/W4406266237","https://openalex.org/W4406685911","https://openalex.org/W4407230102","https://openalex.org/W4409760930"],"related_works":[],"abstract_inverted_index":{"Cybersickness":[0],"could":[1,68],"negatively":[2],"impact":[3],"user":[4],"comfort,":[5],"immersion":[6],"and":[7,61,111],"the":[8,18,28,36,74,102,107,128,145,153,157,177,183],"long-term":[9],"adoption":[10],"of":[11,20,38,76,136,165,179],"virtual":[12],"reality":[13],"technologies.":[14],"Past":[15],"literature":[16],"suggests":[17],"benefits":[19],"accurate":[21,40],"cybersickness":[22,98,200],"prediction":[23,202],"for":[24,144,207],"early":[25],"interventions;":[26],"however,":[27],"labeled":[29,56],"data":[30],"scarcity":[31,109],"poses":[32],"significant":[33,70],"challenges":[34],"to":[35,63,96,142,176,182,210],"development":[37],"an":[39],"predictive":[41],"machine":[42],"learning":[43,90,119],"approach":[44,91],"in":[45,66,80,101,163,199],"this":[46,81,85],"problem":[47],"domain.":[48,83],"In":[49,148],"particular,":[50,149],"traditional":[51],"fully-supervised":[52,78,117],"methods":[53],"require":[54],"large":[55],"datasets,":[57],"which":[58],"are":[59],"expensive":[60],"timeconsuming":[62],"collect.":[64],"This,":[65],"turn,":[67],"have":[69,170],"adverse":[71],"effects":[72],"on":[73,93,126,150,185],"effectiveness":[75],"such":[77],"approaches":[79],"application":[82],"Accordingly,":[84],"study":[86],"investigates":[87],"a":[88,116,133,205,213],"few-shot":[89],"based":[92],"prototypical":[94],"networks":[95],"predict":[97],"symptoms":[99],"(introduced":[100],"Simulator":[103],"Sickness":[104],"Questionnaire)":[105],"under":[106],"label":[108],"challenge,":[110],"compares":[112],"its":[113],"performance":[114],"with":[115,174],"single-task":[118],"approach.":[120],"Our":[121],"empirical":[122],"evaluation":[123],"shows":[124],"that,":[125],"average,":[127],"best-performing":[129],"Prototypical":[130,154,180,194],"Network":[131,155],"achieves":[132],"mean":[134],"AUC":[135],"0.54":[137],"across":[138,216],"all":[139,217],"symptoms,":[140,152],"compared":[141],"0.45":[143],"singletask":[146],"baseline.":[147],"several":[151],"outperforms":[156],"baseline":[158,184],"by":[159],"more":[160],"than":[161],"0.2":[162],"terms":[164],"AUC.":[166],"However,":[167],"some":[168],"exceptions":[169],"also":[171],"been":[172],"observed":[173],"respect":[175],"superiority":[178],"Networks":[181,195],"certain":[186],"symptoms.":[187,218],"Therefore,":[188],"these":[189],"results":[190],"suggest":[191],"that":[192],"fewshot":[193],"deliver":[196],"average":[197],"improvements":[198],"symptom":[201],"while":[203],"highlighting":[204],"need":[206],"further":[208],"research":[209],"consistently":[211],"achieve":[212],"high":[214],"accuracy":[215]},"counts_by_year":[],"updated_date":"2026-03-28T06:11:35.319607","created_date":"2026-03-27T00:00:00"}
