{"id":"https://openalex.org/W4307556648","doi":"https://doi.org/10.3389/fnbot.2022.1009093","title":"Case report: Quantitative recognition of virtual human technology acceptance based on efficient deep neural network algorithm","display_name":"Case report: Quantitative recognition of virtual human technology acceptance based on efficient deep neural network algorithm","publication_year":2022,"publication_date":"2022-10-26","ids":{"openalex":"https://openalex.org/W4307556648","doi":"https://doi.org/10.3389/fnbot.2022.1009093","pmid":"https://pubmed.ncbi.nlm.nih.gov/36386389"},"language":"en","primary_location":{"id":"doi:10.3389/fnbot.2022.1009093","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1009093","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.1009093/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.1009093/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100407894","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-7127-0839"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["School of Government, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Government, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071015273","display_name":"Charles Chen","orcid":"https://orcid.org/0000-0002-2203-0433"},"institutions":[{"id":"https://openalex.org/I3132008252","display_name":"Nanjing Foreign Language School","ror":"https://ror.org/03wvwbe92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132008252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Charles Chen","raw_affiliation_strings":["Guangzhou Foreign Language School, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Foreign Language School, Guangzhou, China","institution_ids":["https://openalex.org/I3132008252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071015273"],"corresponding_institution_ids":["https://openalex.org/I3132008252"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":0.1353,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54448974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"1009093","last_page":"1009093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.7735999822616577,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.7735999822616577,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.7544000148773193,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.727400004863739,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8713608980178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6051067113876343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5949135422706604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4449912905693054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4024682641029358},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3377187252044678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8713608980178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6051067113876343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5949135422706604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4449912905693054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4024682641029358},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3377187252044678}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fnbot.2022.1009093","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1009093","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.1009093/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},{"id":"pmid:36386389","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36386389","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in neurorobotics","raw_type":null},{"id":"pmh:oai:doaj.org/article:aab71967a7324adb998b031646d782a4","is_oa":true,"landing_page_url":"https://doaj.org/article/aab71967a7324adb998b031646d782a4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Neurorobotics, Vol 16 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9643581","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9643581","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Front Neurorobot","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fnbot.2022.1009093","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1009093","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2022.1009093/pdf","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307556648.pdf","grobid_xml":"https://content.openalex.org/works/W4307556648.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W159427582","https://openalex.org/W1594873046","https://openalex.org/W2083704334","https://openalex.org/W2088695164","https://openalex.org/W2100379340","https://openalex.org/W2105335341","https://openalex.org/W2114416065","https://openalex.org/W2165599843","https://openalex.org/W2204506728","https://openalex.org/W2211144218","https://openalex.org/W2296203900","https://openalex.org/W2894210163","https://openalex.org/W2898700726","https://openalex.org/W2975622968","https://openalex.org/W2993371666","https://openalex.org/W3012540572","https://openalex.org/W3164376441","https://openalex.org/W3206736890","https://openalex.org/W3214839373","https://openalex.org/W4200357302","https://openalex.org/W4200513054","https://openalex.org/W4206955536","https://openalex.org/W4211226890","https://openalex.org/W4214725144","https://openalex.org/W4251537962","https://openalex.org/W4254384552","https://openalex.org/W6675379433","https://openalex.org/W6677819201","https://openalex.org/W6684489972"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"With":[0],"the":[1,20,31,38,51,65,70,112,121,129,132,236,245,250],"advancement":[2],"of":[3,22,33,40,72,92,111,131,134,154,208,235,247,249],"artificial":[4],"intelligence,":[5],"robotics":[6,26,34,41,93,118,135,155],"education":[7,27,35,54,94,119,136],"has":[8],"been":[9],"a":[10,146,200,218],"significant":[11,149,201],"way":[12],"to":[13,24,30,86,117,128,225,244],"enhance":[14],"students'":[15],"digital":[16],"competency.":[17],"In":[18],"turn,":[19],"willingness":[21],"teachers":[23,47,113],"embrace":[25],"is":[28,126,231,241],"related":[29,127,243],"effectiveness":[32],"implementation":[36],"and":[37,45,57,62,64,76,88,104,148,168,171,186,215],"sustainability":[39],"education.":[42,156],"Two":[43],"hundred":[44],"sixty-nine":[46],"who":[48],"participated":[49],"in":[50,55,60,95,120,137,139,221],"\"virtual":[52],"human":[53],"primary":[56],"secondary":[58],"schools":[59],"Guangdong":[61],"Henan\"":[63],"questionnaire":[66],"were":[67,80,114,173],"used":[68],"as":[69],"subjects":[71],"study.":[73],"UTAUT":[74],"model":[75],"its":[77],"corresponding":[78],"scale":[79],"modified":[81],"by":[82],"deep":[83,209,237],"learning":[84,210],"algorithms":[85],"investigate":[87],"analyze":[89],"teachers'":[90,152],"acceptance":[91,153,172],"four":[96,195],"dimensions:":[97],"performance":[98,162],"expectations,":[99,101,163,165],"effort":[100,164],"community":[102,166],"influence":[103],"enabling":[105,169],"conditions.":[106],"Findings":[107],"show":[108,212],"that":[109,193,213,233],"53.68%":[110],"progressively":[115],"exposed":[116],"last":[122],"three":[123],"years,":[124,141],"which":[125],"context":[130],"rise":[133],"schooling":[138],"recent":[140],"where":[142],"contributing":[143],"conditions":[144,170],"have":[145],"direct":[147],"impact":[150],"on":[151,203],"The":[157],"correlation":[158],"coefficients":[159],"between":[160],"teacher":[161],"influence,":[167],"0.290":[174],"(<i>p</i>":[175,179,183,188],"=":[176,180,184,189],"0.000<0.001),":[177,185],"-0.144":[178],"0.048<0.05),":[181],"0.396":[182],"0.422":[187],"0.000<0.001)":[190],"respectively,":[191],"indicating":[192],"these":[194],"core":[196],"dimensions":[197],"both":[198],"had":[199],"effect":[202],"acceptance.":[204],"Optimization":[205],"comparison":[206],"results":[207],"models":[211],"mDAE":[214],"AmDAE":[216],"provide":[217],"substantial":[219],"reduction":[220],"training":[222],"time":[223],"compared":[224],"existing":[226],"noise-reducing":[227],"autoencoder":[228],"models.":[229],"It":[230],"shown":[232],"time-complexity":[234],"neural":[238],"network":[239],"algorithm":[240],"positively":[242],"number":[246],"layers":[248],"model.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
