Can virtual reality trainers improve the compliance discrimination abilities of trainee surgeons?
Identifieur interne : 003E86 ( Ncbi/Merge ); précédent : 003E85; suivant : 003E87Can virtual reality trainers improve the compliance discrimination abilities of trainee surgeons?
Auteurs : Earle S. Jamieson ; James H. Chandler ; Peter R. Culmer ; Michael Manogue ; Mark Mon-Williams ; Richard M. WilkieSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2015.
Abstract
The assessment of tissue compliance using a handheld tool is an important skill in medical areas such as laparoscopic and dental surgery. The increasing prevalence of virtual reality devices raises the question of whether we can exploit these systems to accelerate the training of compliance discrimination in trainee surgeons. We used a haptic feedback device and stylus to assess the abilities of naïve participants to detect compliance differences with and without knowledge of results (KR) (groups 1 and 2), as well as the abilities of participants who had undergone repetitive training over several days (group 3). Kinematic analyses were carried out to objectively measure the probing action. Untrained participants had poor detection thresholds (mean just noticeable difference, JND = 33%), and we found no effect of KR (provided after each trial) on performance (mean JND = 35%). Intensive training dramatically improved group performance (mean JND = 12%). Probing action (in particular, slower movement execution) was associated with better detection thresholds, but training did not lead to systematic changes in probing behaviour. These findings set a benchmark for training systems that act to increase perceptual sensitivity and guide the learner toward optimal movement strategies to improve discrimination.
DOI: 10.1109/EMBC.2015.7318400
PubMed: 26736300
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000151
- to stream PubMed, to step Curation: 000151
- to stream PubMed, to step Checkpoint: 000425
Links to Exploration step
pubmed:26736300Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Can virtual reality trainers improve the compliance discrimination abilities of trainee surgeons?</title><author><name sortKey="Jamieson, Earle S" sort="Jamieson, Earle S" uniqKey="Jamieson E" first="Earle S" last="Jamieson">Earle S. Jamieson</name></author><author><name sortKey="Chandler, James H" sort="Chandler, James H" uniqKey="Chandler J" first="James H" last="Chandler">James H. Chandler</name></author><author><name sortKey="Culmer, Peter R" sort="Culmer, Peter R" uniqKey="Culmer P" first="Peter R" last="Culmer">Peter R. Culmer</name></author><author><name sortKey="Manogue, Michael" sort="Manogue, Michael" uniqKey="Manogue M" first="Michael" last="Manogue">Michael Manogue</name></author><author><name sortKey="Mon Williams, Mark" sort="Mon Williams, Mark" uniqKey="Mon Williams M" first="Mark" last="Mon-Williams">Mark Mon-Williams</name></author><author><name sortKey="Wilkie, Richard M" sort="Wilkie, Richard M" uniqKey="Wilkie R" first="Richard M" last="Wilkie">Richard M. Wilkie</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="doi">10.1109/EMBC.2015.7318400</idno><idno type="RBID">pubmed:26736300</idno><idno type="pmid">26736300</idno><idno type="wicri:Area/PubMed/Corpus">000151</idno><idno type="wicri:Area/PubMed/Curation">000151</idno><idno type="wicri:Area/PubMed/Checkpoint">000425</idno><idno type="wicri:Area/Ncbi/Merge">003E86</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Can virtual reality trainers improve the compliance discrimination abilities of trainee surgeons?</title><author><name sortKey="Jamieson, Earle S" sort="Jamieson, Earle S" uniqKey="Jamieson E" first="Earle S" last="Jamieson">Earle S. Jamieson</name></author><author><name sortKey="Chandler, James H" sort="Chandler, James H" uniqKey="Chandler J" first="James H" last="Chandler">James H. Chandler</name></author><author><name sortKey="Culmer, Peter R" sort="Culmer, Peter R" uniqKey="Culmer P" first="Peter R" last="Culmer">Peter R. Culmer</name></author><author><name sortKey="Manogue, Michael" sort="Manogue, Michael" uniqKey="Manogue M" first="Michael" last="Manogue">Michael Manogue</name></author><author><name sortKey="Mon Williams, Mark" sort="Mon Williams, Mark" uniqKey="Mon Williams M" first="Mark" last="Mon-Williams">Mark Mon-Williams</name></author><author><name sortKey="Wilkie, Richard M" sort="Wilkie, Richard M" uniqKey="Wilkie R" first="Richard M" last="Wilkie">Richard M. Wilkie</name></author></analytic><series><title level="j">Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</title><idno type="ISSN">1557-170X</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The assessment of tissue compliance using a handheld tool is an important skill in medical areas such as laparoscopic and dental surgery. The increasing prevalence of virtual reality devices raises the question of whether we can exploit these systems to accelerate the training of compliance discrimination in trainee surgeons. We used a haptic feedback device and stylus to assess the abilities of naïve participants to detect compliance differences with and without knowledge of results (KR) (groups 1 and 2), as well as the abilities of participants who had undergone repetitive training over several days (group 3). Kinematic analyses were carried out to objectively measure the probing action. Untrained participants had poor detection thresholds (mean just noticeable difference, JND = 33%), and we found no effect of KR (provided after each trial) on performance (mean JND = 35%). Intensive training dramatically improved group performance (mean JND = 12%). Probing action (in particular, slower movement execution) was associated with better detection thresholds, but training did not lead to systematic changes in probing behaviour. These findings set a benchmark for training systems that act to increase perceptual sensitivity and guide the learner toward optimal movement strategies to improve discrimination.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="In-Data-Review"><PMID Version="1">26736300</PMID><DateCreated><Year>2016</Year><Month>01</Month><Day>07</Day></DateCreated><Article PubModel="Print"><Journal><ISSN IssnType="Print">1557-170X</ISSN><JournalIssue CitedMedium="Internet"><Volume>2015</Volume><PubDate><Year>2015</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</Title><ISOAbbreviation>Conf Proc IEEE Eng Med Biol Soc</ISOAbbreviation></Journal><ArticleTitle>Can virtual reality trainers improve the compliance discrimination abilities of trainee surgeons?</ArticleTitle><Pagination><MedlinePgn>466-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/EMBC.2015.7318400</ELocationID><Abstract><AbstractText>The assessment of tissue compliance using a handheld tool is an important skill in medical areas such as laparoscopic and dental surgery. The increasing prevalence of virtual reality devices raises the question of whether we can exploit these systems to accelerate the training of compliance discrimination in trainee surgeons. We used a haptic feedback device and stylus to assess the abilities of naïve participants to detect compliance differences with and without knowledge of results (KR) (groups 1 and 2), as well as the abilities of participants who had undergone repetitive training over several days (group 3). Kinematic analyses were carried out to objectively measure the probing action. Untrained participants had poor detection thresholds (mean just noticeable difference, JND = 33%), and we found no effect of KR (provided after each trial) on performance (mean JND = 35%). Intensive training dramatically improved group performance (mean JND = 12%). Probing action (in particular, slower movement execution) was associated with better detection thresholds, but training did not lead to systematic changes in probing behaviour. These findings set a benchmark for training systems that act to increase perceptual sensitivity and guide the learner toward optimal movement strategies to improve discrimination.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Jamieson</LastName><ForeName>Earle S</ForeName><Initials>ES</Initials></Author><Author ValidYN="Y"><LastName>Chandler</LastName><ForeName>James H</ForeName><Initials>JH</Initials></Author><Author ValidYN="Y"><LastName>Culmer</LastName><ForeName>Peter R</ForeName><Initials>PR</Initials></Author><Author ValidYN="Y"><LastName>Manogue</LastName><ForeName>Michael</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Mon-Williams</LastName><ForeName>Mark</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Wilkie</LastName><ForeName>Richard M</ForeName><Initials>RM</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Conf Proc IEEE Eng Med Biol Soc</MedlineTA><NlmUniqueID>101243413</NlmUniqueID><ISSNLinking>1557-170X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>1</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>1</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>1</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1109/EMBC.2015.7318400</ArticleId><ArticleId IdType="pubmed">26736300</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list></list><tree><noCountry><name sortKey="Chandler, James H" sort="Chandler, James H" uniqKey="Chandler J" first="James H" last="Chandler">James H. Chandler</name><name sortKey="Culmer, Peter R" sort="Culmer, Peter R" uniqKey="Culmer P" first="Peter R" last="Culmer">Peter R. Culmer</name><name sortKey="Jamieson, Earle S" sort="Jamieson, Earle S" uniqKey="Jamieson E" first="Earle S" last="Jamieson">Earle S. Jamieson</name><name sortKey="Manogue, Michael" sort="Manogue, Michael" uniqKey="Manogue M" first="Michael" last="Manogue">Michael Manogue</name><name sortKey="Mon Williams, Mark" sort="Mon Williams, Mark" uniqKey="Mon Williams M" first="Mark" last="Mon-Williams">Mark Mon-Williams</name><name sortKey="Wilkie, Richard M" sort="Wilkie, Richard M" uniqKey="Wilkie R" first="Richard M" last="Wilkie">Richard M. Wilkie</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Ncbi/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003E86 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd -nk 003E86 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= Ncbi
|étape= Merge
|type= RBID
|clé= pubmed:26736300
|texte= Can virtual reality trainers improve the compliance discrimination abilities of trainee surgeons?
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/RBID.i -Sk "pubmed:26736300" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |