Design considerations to improve cognitive ergonomic issues of unmanned vehicle interfaces utilizing video game controllers.
Identifieur interne : 001E51 ( Ncbi/Merge ); précédent : 001E50; suivant : 001E52Design considerations to improve cognitive ergonomic issues of unmanned vehicle interfaces utilizing video game controllers.
Auteurs : P. Oppold [États-Unis] ; M. Rupp ; M. Mouloua ; P A Hancock ; J. MartinSource :
- Work (Reading, Mass.) [ 1875-9270 ] ; 2012.
English descriptors
- KwdEn :
- MESH :
- classification : Computer Peripherals.
- instrumentation : Aircraft.
- psychology : Workload.
- Cognition, Human Engineering, Humans, Man-Machine Systems, Robotics, Touch, Video Games.
Abstract
Unmanned (UAVs, UCAVs, and UGVs) systems still have major human factors and ergonomic challenges related to the effective design of their control interface systems, crucial to their efficient operation, maintenance, and safety. Unmanned system interfaces with a human centered approach promote intuitive interfaces that are easier to learn, and reduce human errors and other cognitive ergonomic issues with interface design. Automation has shifted workload from physical to cognitive, thus control interfaces for unmanned systems need to reduce mental workload on the operators and facilitate the interaction between vehicle and operator. Two-handed video game controllers provide wide usability within the overall population, prior exposure for new operators, and a variety of interface complexity levels to match the complexity level of the task and reduce cognitive load. This paper categorizes and provides taxonomy for 121 haptic interfaces from the entertainment industry that can be utilized as control interfaces for unmanned systems. Five categories of controllers were based on the complexity of the buttons, control pads, joysticks, and switches on the controller. This allows the selection of the level of complexity needed for a specific task without creating an entirely new design or utilizing an overly complex design.
DOI: 10.3233/WOR-2012-0896-5609
PubMed: 22317628
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pubmed:22317628Le document en format XML
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Martin</name></author></analytic><series><title level="j">Work (Reading, Mass.)</title><idno type="eISSN">1875-9270</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aircraft (instrumentation)</term><term>Cognition</term><term>Computer Peripherals (classification)</term><term>Human Engineering</term><term>Humans</term><term>Man-Machine Systems</term><term>Robotics</term><term>Touch</term><term>Video Games</term><term>Workload (psychology)</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Computer Peripherals</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Aircraft</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Workload</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cognition</term><term>Human Engineering</term><term>Humans</term><term>Man-Machine Systems</term><term>Robotics</term><term>Touch</term><term>Video Games</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Unmanned (UAVs, UCAVs, and UGVs) systems still have major human factors and ergonomic challenges related to the effective design of their control interface systems, crucial to their efficient operation, maintenance, and safety. Unmanned system interfaces with a human centered approach promote intuitive interfaces that are easier to learn, and reduce human errors and other cognitive ergonomic issues with interface design. Automation has shifted workload from physical to cognitive, thus control interfaces for unmanned systems need to reduce mental workload on the operators and facilitate the interaction between vehicle and operator. Two-handed video game controllers provide wide usability within the overall population, prior exposure for new operators, and a variety of interface complexity levels to match the complexity level of the task and reduce cognitive load. This paper categorizes and provides taxonomy for 121 haptic interfaces from the entertainment industry that can be utilized as control interfaces for unmanned systems. Five categories of controllers were based on the complexity of the buttons, control pads, joysticks, and switches on the controller. This allows the selection of the level of complexity needed for a specific task without creating an entirely new design or utilizing an overly complex design.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">22317628</PMID><DateCreated><Year>2012</Year><Month>02</Month><Day>09</Day></DateCreated><DateCompleted><Year>2014</Year><Month>02</Month><Day>28</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1875-9270</ISSN><JournalIssue CitedMedium="Internet"><Volume>41 Suppl 1</Volume><PubDate><Year>2012</Year></PubDate></JournalIssue><Title>Work (Reading, Mass.)</Title><ISOAbbreviation>Work</ISOAbbreviation></Journal><ArticleTitle>Design considerations to improve cognitive ergonomic issues of unmanned vehicle interfaces utilizing video game controllers.</ArticleTitle><Pagination><MedlinePgn>5609-11</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3233/WOR-2012-0896-5609</ELocationID><Abstract><AbstractText>Unmanned (UAVs, UCAVs, and UGVs) systems still have major human factors and ergonomic challenges related to the effective design of their control interface systems, crucial to their efficient operation, maintenance, and safety. Unmanned system interfaces with a human centered approach promote intuitive interfaces that are easier to learn, and reduce human errors and other cognitive ergonomic issues with interface design. Automation has shifted workload from physical to cognitive, thus control interfaces for unmanned systems need to reduce mental workload on the operators and facilitate the interaction between vehicle and operator. Two-handed video game controllers provide wide usability within the overall population, prior exposure for new operators, and a variety of interface complexity levels to match the complexity level of the task and reduce cognitive load. This paper categorizes and provides taxonomy for 121 haptic interfaces from the entertainment industry that can be utilized as control interfaces for unmanned systems. Five categories of controllers were based on the complexity of the buttons, control pads, joysticks, and switches on the controller. This allows the selection of the level of complexity needed for a specific task without creating an entirely new design or utilizing an overly complex design.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Oppold</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Transportation Research Group, Psychology Department, University of Central Florida, 4000 Central Florida Blvd. Orlando, FL 32816-1390, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rupp</LastName><ForeName>M</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Mouloua</LastName><ForeName>M</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Hancock</LastName><ForeName>P A</ForeName><Initials>PA</Initials></Author><Author ValidYN="Y"><LastName>Martin</LastName><ForeName>J</ForeName><Initials>J</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Work</MedlineTA><NlmUniqueID>9204382</NlmUniqueID><ISSNLinking>1051-9815</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000401">Aircraft</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003071">Cognition</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D016287">Computer Peripherals</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000145">classification</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D006804">Human Engineering</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D008328">Man-Machine Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012371">Robotics</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014110">Touch</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D018910">Video Games</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D016526">Workload</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000523">psychology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>2</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>2</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>3</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">W68J362X54865348</ArticleId><ArticleId IdType="doi">10.3233/WOR-2012-0896-5609</ArticleId><ArticleId IdType="pubmed">22317628</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Floride</li></region></list><tree><noCountry><name sortKey="Hancock, P A" sort="Hancock, P A" uniqKey="Hancock P" first="P A" last="Hancock">P A Hancock</name><name sortKey="Martin, J" sort="Martin, J" uniqKey="Martin J" first="J" last="Martin">J. Martin</name><name sortKey="Mouloua, M" sort="Mouloua, M" uniqKey="Mouloua M" first="M" last="Mouloua">M. Mouloua</name><name sortKey="Rupp, M" sort="Rupp, M" uniqKey="Rupp M" first="M" last="Rupp">M. Rupp</name></noCountry><country name="États-Unis"><region name="Floride"><name sortKey="Oppold, P" sort="Oppold, P" uniqKey="Oppold P" first="P" last="Oppold">P. Oppold</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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