Toward a computational model of constraint-driven exploration and haptic object identification.
Identifieur interne : 001E76 ( PubMed/Checkpoint ); précédent : 001E75; suivant : 001E77Toward a computational model of constraint-driven exploration and haptic object identification.
Auteurs : R L Klatzky ; S J LedermanSource :
- Perception [ 0301-0066 ] ; 1993.
English descriptors
- KwdEn :
- MESH :
Abstract
A conceptual model of the human haptic system in relation to object identification is presented. The model encompasses major architectural elements including representations of haptically accessible object properties and exploratory procedures (EPs)--dedicated movement patterns that are specialized to extract particular properties. These architectural units are related in processing-specific ways. Properties are associated with exploratory procedures in keeping with the extent to which a given procedure delivers information about a given property. The EPs are associated with one another in keeping with their compatibility, as determined by parameters of motor execution and interactions with the object and the workspace. The resulting architecture is treated as a system of constraints which guide the exploration of an object during the course of identification. The selection of the next step in a sequence of exploration requires that constraints be optimally satisfied. A network approach to constraint satisfaction is implemented and shown to account for a number of previous empirical results concerning the time course of exploration, object classification speed, and incidental learning about object properties. This system has potential applications for robotic haptic exploration.
PubMed: 8414884
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
pubmed:8414884Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Toward a computational model of constraint-driven exploration and haptic object identification.</title><author><name sortKey="Klatzky, R L" sort="Klatzky, R L" uniqKey="Klatzky R" first="R L" last="Klatzky">R L Klatzky</name><affiliation><nlm:affiliation>University of California, Santa Barbara 93106.</nlm:affiliation><wicri:noCountry code="subField">Santa Barbara 93106</wicri:noCountry></affiliation></author><author><name sortKey="Lederman, S J" sort="Lederman, S J" uniqKey="Lederman S" first="S J" last="Lederman">S J Lederman</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1993">1993</date><idno type="RBID">pubmed:8414884</idno><idno type="pmid">8414884</idno><idno type="wicri:Area/PubMed/Corpus">002174</idno><idno type="wicri:Area/PubMed/Curation">002174</idno><idno type="wicri:Area/PubMed/Checkpoint">001E76</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Toward a computational model of constraint-driven exploration and haptic object identification.</title><author><name sortKey="Klatzky, R L" sort="Klatzky, R L" uniqKey="Klatzky R" first="R L" last="Klatzky">R L Klatzky</name><affiliation><nlm:affiliation>University of California, Santa Barbara 93106.</nlm:affiliation><wicri:noCountry code="subField">Santa Barbara 93106</wicri:noCountry></affiliation></author><author><name sortKey="Lederman, S J" sort="Lederman, S J" uniqKey="Lederman S" first="S J" last="Lederman">S J Lederman</name></author></analytic><series><title level="j">Perception</title><idno type="ISSN">0301-0066</idno><imprint><date when="1993" type="published">1993</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Attention</term><term>Computer Simulation</term><term>Concept Formation</term><term>Discrimination Learning</term><term>Humans</term><term>Models, Theoretical</term><term>Psychophysics</term><term>Robotics</term><term>Stereognosis</term><term>Touch</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Attention</term><term>Computer Simulation</term><term>Concept Formation</term><term>Discrimination Learning</term><term>Humans</term><term>Models, Theoretical</term><term>Psychophysics</term><term>Robotics</term><term>Stereognosis</term><term>Touch</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A conceptual model of the human haptic system in relation to object identification is presented. The model encompasses major architectural elements including representations of haptically accessible object properties and exploratory procedures (EPs)--dedicated movement patterns that are specialized to extract particular properties. These architectural units are related in processing-specific ways. Properties are associated with exploratory procedures in keeping with the extent to which a given procedure delivers information about a given property. The EPs are associated with one another in keeping with their compatibility, as determined by parameters of motor execution and interactions with the object and the workspace. The resulting architecture is treated as a system of constraints which guide the exploration of an object during the course of identification. The selection of the next step in a sequence of exploration requires that constraints be optimally satisfied. A network approach to constraint satisfaction is implemented and shown to account for a number of previous empirical results concerning the time course of exploration, object classification speed, and incidental learning about object properties. This system has potential applications for robotic haptic exploration.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">8414884</PMID><DateCreated><Year>1993</Year><Month>11</Month><Day>23</Day></DateCreated><DateCompleted><Year>1993</Year><Month>11</Month><Day>23</Day></DateCompleted><DateRevised><Year>2006</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0301-0066</ISSN><JournalIssue CitedMedium="Print"><Volume>22</Volume><Issue>5</Issue><PubDate><Year>1993</Year></PubDate></JournalIssue><Title>Perception</Title><ISOAbbreviation>Perception</ISOAbbreviation></Journal><ArticleTitle>Toward a computational model of constraint-driven exploration and haptic object identification.</ArticleTitle><Pagination><MedlinePgn>597-621</MedlinePgn></Pagination><Abstract><AbstractText>A conceptual model of the human haptic system in relation to object identification is presented. The model encompasses major architectural elements including representations of haptically accessible object properties and exploratory procedures (EPs)--dedicated movement patterns that are specialized to extract particular properties. These architectural units are related in processing-specific ways. Properties are associated with exploratory procedures in keeping with the extent to which a given procedure delivers information about a given property. The EPs are associated with one another in keeping with their compatibility, as determined by parameters of motor execution and interactions with the object and the workspace. The resulting architecture is treated as a system of constraints which guide the exploration of an object during the course of identification. The selection of the next step in a sequence of exploration requires that constraints be optimally satisfied. A network approach to constraint satisfaction is implemented and shown to account for a number of previous empirical results concerning the time course of exploration, object classification speed, and incidental learning about object properties. This system has potential applications for robotic haptic exploration.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Klatzky</LastName><ForeName>R L</ForeName><Initials>RL</Initials><AffiliationInfo><Affiliation>University of California, Santa Barbara 93106.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lederman</LastName><ForeName>S J</ForeName><Initials>SJ</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>ENGLAND</Country><MedlineTA>Perception</MedlineTA><NlmUniqueID>0372307</NlmUniqueID><ISSNLinking>0301-0066</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D001288">Attention</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003198">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003210">Concept Formation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D004193">Discrimination Learning</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D008962">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011601">Psychophysics</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012371">Robotics</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D013236">Stereognosis</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014110">Touch</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1993</Year><Month>1</Month><Day>1</Day></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1993</Year><Month>1</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1993</Year><Month>1</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">8414884</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list></list><tree><noCountry><name sortKey="Klatzky, R L" sort="Klatzky, R L" uniqKey="Klatzky R" first="R L" last="Klatzky">R L Klatzky</name><name sortKey="Lederman, S J" sort="Lederman, S J" uniqKey="Lederman S" first="S J" last="Lederman">S J Lederman</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PubMed/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001E76 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd -nk 001E76 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= PubMed
|étape= Checkpoint
|type= RBID
|clé= pubmed:8414884
|texte= Toward a computational model of constraint-driven exploration and haptic object identification.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/RBID.i -Sk "pubmed:8414884" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |