{"id":"https://openalex.org/W3143281788","doi":"https://doi.org/10.1109/wsc48552.2020.9384065","title":"Neural Functional Analysis in Virtual Reality Simulation: Example of a Human-Robot Collaboration Tasks","display_name":"Neural Functional Analysis in Virtual Reality Simulation: Example of a Human-Robot Collaboration Tasks","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3143281788","doi":"https://doi.org/10.1109/wsc48552.2020.9384065","mag":"3143281788"},"language":"en","primary_location":{"id":"doi:10.1109/wsc48552.2020.9384065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9384065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091686747","display_name":"Qi Zhu","orcid":"https://orcid.org/0000-0002-6748-7250"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Zhu","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018591825","display_name":"Jing Du","orcid":"https://orcid.org/0000-0002-0481-4875"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Du","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"2424","last_page":"2434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9855999946594238,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7380474209785461},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7257063388824463},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.6881577968597412},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.6346505880355835},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6001041531562805},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.550150454044342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5037197470664978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4896853268146515},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.48011302947998047},{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.4489181339740753},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41961824893951416},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.39614367485046387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7380474209785461},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7257063388824463},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6881577968597412},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6346505880355835},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6001041531562805},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.550150454044342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5037197470664978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4896853268146515},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.48011302947998047},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.4489181339740753},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41961824893951416},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.39614367485046387},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc48552.2020.9384065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9384065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1879998433","https://openalex.org/W1972179573","https://openalex.org/W1972416255","https://openalex.org/W2007333865","https://openalex.org/W2014387288","https://openalex.org/W2026755643","https://openalex.org/W2029802912","https://openalex.org/W2045493030","https://openalex.org/W2046766283","https://openalex.org/W2055807160","https://openalex.org/W2066113169","https://openalex.org/W2066525901","https://openalex.org/W2079232695","https://openalex.org/W2096545952","https://openalex.org/W2107479694","https://openalex.org/W2111609296","https://openalex.org/W2113141977","https://openalex.org/W2120392482","https://openalex.org/W2137523819","https://openalex.org/W2151756070","https://openalex.org/W2155188066","https://openalex.org/W2168963208","https://openalex.org/W2169401609","https://openalex.org/W2187223910","https://openalex.org/W2394178667","https://openalex.org/W2396839005","https://openalex.org/W2462420718","https://openalex.org/W2585658764","https://openalex.org/W2587369276","https://openalex.org/W2610586781","https://openalex.org/W2625331235","https://openalex.org/W2886301707","https://openalex.org/W2896728889","https://openalex.org/W2909619163","https://openalex.org/W2965796756","https://openalex.org/W2996168619","https://openalex.org/W2999415408","https://openalex.org/W3099904218","https://openalex.org/W4243310154","https://openalex.org/W6711850150","https://openalex.org/W6753663252"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W3048672182","https://openalex.org/W2348224808","https://openalex.org/W4309505616","https://openalex.org/W3195353062"],"abstract_inverted_index":{"Human-robot":[0],"collaboration":[1],"has":[2],"gained":[3],"its":[4],"popularity":[5],"with":[6],"the":[7,11,16,27,70,110,130,135],"fast":[8],"evolution":[9],"of":[10,15,18,35,63,123],"Industry":[12],"4.0.":[13],"One":[14],"challenges":[17],"HRC":[19],"is":[20,79],"human-robot":[21,55,147],"interface":[22,56,148],"design":[23],"that":[24,129],"adapts":[25],"to":[26,53],"personalized":[28,144],"needs.":[29],"This":[30],"paper":[31],"presents":[32],"a":[33,42,143],"method":[34],"using":[36,81],"Virtual":[37],"Reality":[38],"(VR)":[39],"simulation":[40],"as":[41,87,142],"testbed":[43],"and":[44,49,83],"data":[45,86,132],"collector":[46],"for":[47,90,115,146],"examining":[48],"modeling":[50,116],"personal":[51],"reactions":[52],"different":[54,121],"designs.":[57,125],"To":[58],"obtain":[59],"real-time":[60,100],"leading":[61],"indicator":[62],"human":[64],"performance,":[65],"this":[66],"study":[67],"focuses":[68],"on":[69,109],"neural":[71,117],"functional":[72,118],"analysis":[73],"in":[74,103],"VR.":[75],"An":[76],"integrated":[77],"system":[78],"presented":[80],"eye-tracking":[82],"force":[84],"input":[85],"event":[88],"makers":[89],"Neuroimaging":[91],"technique,":[92],"i.e.,":[93],"Functional":[94],"Near":[95],"Infrared":[96],"Spectroscopy":[97],"(fNIRS).":[98],"The":[99],"hemodynamic":[101],"responses":[102],"subjects'":[104],"brains":[105],"are":[106],"analyzed":[107],"based":[108],"general":[111],"linear":[112],"model":[113,145],"(GLM)":[114],"changes":[119],"under":[120],"levels":[122],"haptic":[124],"Our":[126],"results":[127],"indicate":[128],"neurobehavioral":[131],"collected":[133],"from":[134],"VR":[136],"environment":[137],"can":[138],"be":[139],"used":[140],"directly":[141],"optimization.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}