Biometric Validation of a Virtual Reality-Based Psychomotor Test for Motor Skill Training.
Identifieur interne : 000061 ( PubMed/Corpus ); précédent : 000060; suivant : 000062Biometric Validation of a Virtual Reality-Based Psychomotor Test for Motor Skill Training.
Auteurs : Wenjuan Zhang ; Wenqi Ma ; Maicom Brandao ; David B. Kaber ; Peter Bloomfield ; Manida SwangnetrSource :
- Assistive technology : the official journal of RESNA [ 1040-0435 ] ; 2016.
Abstract
Psychomotor tests have been applied in clinical therapy and laboratory research as tools for evaluating motor and cognitive skills. Some studies have developed computerized versions of such tests using virtual reality (VR) systems with haptic interface controls. These systems allow for increased flexibility in test delivery and accuracy in performance assessment. In this study, a VR-based computer simulation of the Block Design (BD) test (a standardized psychomotor task as part of an adult IQ test) was developed and compared with the physical version of the test. Performance was evaluated based on four types of muscle activation collected using electromyography (EMG), time spent in completing the task, and subjective ratings of workload. Results verified the VR-based task as physically comparable to the conventional BD test. The validated computerized psychomotor task may be applied for both experimental and clinical use in future studies.
DOI: 10.1080/10400435.2016.1165758
PubMed: 27011301
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Fitts Department of Industrial and Systems Engineering , North Carolina State University , Raleigh , NC 27695-7906 , USA.</nlm:affiliation></affiliation></author><author><name sortKey="Kaber, David B" sort="Kaber, David B" uniqKey="Kaber D" first="David B" last="Kaber">David B. Kaber</name><affiliation><nlm:affiliation>a Edward P. Fitts Department of Industrial and Systems Engineering , North Carolina State University , Raleigh , NC 27695-7906 , USA.</nlm:affiliation></affiliation></author><author><name sortKey="Bloomfield, Peter" sort="Bloomfield, Peter" uniqKey="Bloomfield P" first="Peter" last="Bloomfield">Peter Bloomfield</name><affiliation><nlm:affiliation>c Department of Statistics , North Carolina State University , Raleigh , NC 27695-8203 , USA.</nlm:affiliation></affiliation></author><author><name sortKey="Swangnetr, Manida" sort="Swangnetr, Manida" uniqKey="Swangnetr M" first="Manida" last="Swangnetr">Manida Swangnetr</name><affiliation><nlm:affiliation>d Research Center in Back, Neck, Other Joint Pain and Human Performance , Khon Kaen University , Khon Kaen , Thailand.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="doi">10.1080/10400435.2016.1165758</idno><idno type="RBID">pubmed:27011301</idno><idno type="pmid">27011301</idno><idno type="wicri:Area/PubMed/Corpus">000061</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Biometric Validation of a Virtual Reality-Based Psychomotor Test for Motor Skill Training.</title><author><name sortKey="Zhang, Wenjuan" sort="Zhang, Wenjuan" uniqKey="Zhang W" first="Wenjuan" last="Zhang">Wenjuan Zhang</name><affiliation><nlm:affiliation>a Edward P. Fitts Department of Industrial and Systems Engineering , North Carolina State University , Raleigh , NC 27695-7906 , USA.</nlm:affiliation></affiliation></author><author><name sortKey="Ma, Wenqi" sort="Ma, Wenqi" uniqKey="Ma W" first="Wenqi" last="Ma">Wenqi Ma</name><affiliation><nlm:affiliation>b Strategic Research, Advanced Product Development & Sales , Johnson Controls, Inc ., Holland , MI 49423 , USA.</nlm:affiliation></affiliation></author><author><name sortKey="Brandao, Maicom" sort="Brandao, Maicom" uniqKey="Brandao M" first="Maicom" last="Brandao">Maicom Brandao</name><affiliation><nlm:affiliation>a Edward P. Fitts Department of Industrial and Systems Engineering , North Carolina State University , Raleigh , NC 27695-7906 , USA.</nlm:affiliation></affiliation></author><author><name sortKey="Kaber, David B" sort="Kaber, David B" uniqKey="Kaber D" first="David B" last="Kaber">David B. Kaber</name><affiliation><nlm:affiliation>a Edward P. Fitts Department of Industrial and Systems Engineering , North Carolina State University , Raleigh , NC 27695-7906 , USA.</nlm:affiliation></affiliation></author><author><name sortKey="Bloomfield, Peter" sort="Bloomfield, Peter" uniqKey="Bloomfield P" first="Peter" last="Bloomfield">Peter Bloomfield</name><affiliation><nlm:affiliation>c Department of Statistics , North Carolina State University , Raleigh , NC 27695-8203 , USA.</nlm:affiliation></affiliation></author><author><name sortKey="Swangnetr, Manida" sort="Swangnetr, Manida" uniqKey="Swangnetr M" first="Manida" last="Swangnetr">Manida Swangnetr</name><affiliation><nlm:affiliation>d Research Center in Back, Neck, Other Joint Pain and Human Performance , Khon Kaen University , Khon Kaen , Thailand.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Assistive technology : the official journal of RESNA</title><idno type="ISSN">1040-0435</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Psychomotor tests have been applied in clinical therapy and laboratory research as tools for evaluating motor and cognitive skills. Some studies have developed computerized versions of such tests using virtual reality (VR) systems with haptic interface controls. These systems allow for increased flexibility in test delivery and accuracy in performance assessment. In this study, a VR-based computer simulation of the Block Design (BD) test (a standardized psychomotor task as part of an adult IQ test) was developed and compared with the physical version of the test. Performance was evaluated based on four types of muscle activation collected using electromyography (EMG), time spent in completing the task, and subjective ratings of workload. Results verified the VR-based task as physically comparable to the conventional BD test. The validated computerized psychomotor task may be applied for both experimental and clinical use in future studies.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">27011301</PMID><DateCreated><Year>2016</Year><Month>3</Month><Day>24</Day></DateCreated><DateRevised><Year>2016</Year><Month>3</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">1040-0435</ISSN><JournalIssue CitedMedium="Print"><PubDate><Year>2016</Year><Month>Mar</Month><Day>24</Day></PubDate></JournalIssue><Title>Assistive technology : the official journal of RESNA</Title><ISOAbbreviation>Assist Technol</ISOAbbreviation></Journal><ArticleTitle>Biometric Validation of a Virtual Reality-Based Psychomotor Test for Motor Skill Training.</ArticleTitle><Pagination><MedlinePgn></MedlinePgn></Pagination><Abstract><AbstractText NlmCategory="UNASSIGNED">Psychomotor tests have been applied in clinical therapy and laboratory research as tools for evaluating motor and cognitive skills. Some studies have developed computerized versions of such tests using virtual reality (VR) systems with haptic interface controls. These systems allow for increased flexibility in test delivery and accuracy in performance assessment. In this study, a VR-based computer simulation of the Block Design (BD) test (a standardized psychomotor task as part of an adult IQ test) was developed and compared with the physical version of the test. Performance was evaluated based on four types of muscle activation collected using electromyography (EMG), time spent in completing the task, and subjective ratings of workload. Results verified the VR-based task as physically comparable to the conventional BD test. The validated computerized psychomotor task may be applied for both experimental and clinical use in future studies.</AbstractText></Abstract><AuthorList><Author><LastName>Zhang</LastName><ForeName>Wenjuan</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>a Edward P. Fitts Department of Industrial and Systems Engineering , North Carolina State University , Raleigh , NC 27695-7906 , USA.</Affiliation></AffiliationInfo></Author><Author><LastName>Ma</LastName><ForeName>Wenqi</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>b Strategic Research, Advanced Product Development & Sales , Johnson Controls, Inc ., Holland , MI 49423 , USA.</Affiliation></AffiliationInfo></Author><Author><LastName>Brandao</LastName><ForeName>Maicom</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>a Edward P. Fitts Department of Industrial and Systems Engineering , North Carolina State University , Raleigh , NC 27695-7906 , USA.</Affiliation></AffiliationInfo></Author><Author><LastName>Kaber</LastName><ForeName>David B</ForeName><Initials>DB</Initials><AffiliationInfo><Affiliation>a Edward P. Fitts Department of Industrial and Systems Engineering , North Carolina State University , Raleigh , NC 27695-7906 , USA.</Affiliation></AffiliationInfo></Author><Author><LastName>Bloomfield</LastName><ForeName>Peter</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>c Department of Statistics , North Carolina State University , Raleigh , NC 27695-8203 , USA.</Affiliation></AffiliationInfo></Author><Author><LastName>Swangnetr</LastName><ForeName>Manida</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>d Research Center in Back, Neck, Other Joint Pain and Human Performance , Khon Kaen University , Khon Kaen , Thailand.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ENG</Language><PublicationTypeList><PublicationType UI="">JOURNAL ARTICLE</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>3</Month><Day>24</Day></ArticleDate></Article><MedlineJournalInfo><MedlineTA>Assist Technol</MedlineTA><NlmUniqueID>8917250</NlmUniqueID><ISSNLinking>1040-0435</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Psychomotor task performance</Keyword><Keyword MajorTopicYN="N">cognitive workload</Keyword><Keyword MajorTopicYN="N">electromyography</Keyword><Keyword MajorTopicYN="N">motor skill training</Keyword><Keyword MajorTopicYN="N">virtual reality</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>3</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>3</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>3</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1080/10400435.2016.1165758</ArticleId><ArticleId IdType="pubmed">27011301</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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