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AuthorScherer, Stefandc.contributor.author
AuthorSchels, Martindc.contributor.author
AuthorPalm, Güntherdc.contributor.author
Date of accession2020-04-14T12:33:42Zdc.date.accessioned
Available in OPARU since2020-04-14T12:33:42Zdc.date.available
Date of first publication2011dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordhuman computer interactiondc.subject
Keywordannotation schemesdc.subject
Keywordaffective statedc.subject
Keywordmultiparty dialogdc.subject
KeywordEMOTIONdc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
TitleHow Low Level Observations Can Help to Reveal the User's State in HCIdc.title
Resource typeBeitrag zu einer Konferenzdc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1007/978-3-642-24571-8_9dc.identifier.doiExternal
Source - Title of sourceAffective computing and intelligent interactionsource.title
Quellenangabe - HerausgeberD'Mello, Sidneysource.contributor.editor1
Source - PublisherBerlinsource.publisherPlace
Source - Place of publicationSpringersource.publisher
Source - Volume2source.volume
Source - Year2011source.year
Source - From page81source.fromPage
Source - To page90source.toPage
Source - SerialLecture Notes in Computer Science ; 6975source.series
Source - ISSN0302-9743source.identifier.issn
Source - eISSN1611-3349source.identifier.eissn
Source - ISBN978-3-642-24570-1source.identifier.isbn
Conference name4th Bi-Annual International Conference of the Humaine Association on Affective Computing and Intelligent Interaction (ACII 2011)uulm.conferenceName
Conference placeMemphis, TNuulm.conferencePlace
Conference start date2011-10-09uulm.conferenceStartDate
Conference end date2011-10-12uulm.conferenceEndDate
CommunityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000306503700009uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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