Applying Human Learning Principles to User-Centered IoT Systems

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dc.contributor.authorLee, Sang Wanko
dc.contributor.authorPrenzel, Oliverko
dc.contributor.authorBien, Zeung namko
dc.date.accessioned2016-05-12T03:04:53Z-
dc.date.available2016-05-12T03:04:53Z-
dc.date.created2013-11-05-
dc.date.created2013-11-05-
dc.date.created2013-11-05-
dc.date.created2013-11-05-
dc.date.issued2013-02-
dc.identifier.citationCOMPUTER, v.46, no.2, pp.46 - 52-
dc.identifier.issn0018-9162-
dc.identifier.urihttp://hdl.handle.net/10203/207228-
dc.description.abstractIoT systems can benefit from a process model based on principles derived from the psychology and neuroscience of human behavior that emulates how humans acquire task knowledge and learn to adapt to changing context.-
dc.languageEnglish-
dc.publisherIEEE COMPUTER SOC-
dc.titleApplying Human Learning Principles to User-Centered IoT Systems-
dc.typeArticle-
dc.identifier.wosid000314943300015-
dc.identifier.scopusid2-s2.0-84873628793-
dc.type.rimsART-
dc.citation.volume46-
dc.citation.issue2-
dc.citation.beginningpage46-
dc.citation.endingpage52-
dc.citation.publicationnameCOMPUTER-
dc.contributor.localauthorLee, Sang Wan-
dc.contributor.localauthorBien, Zeung nam-
dc.contributor.nonIdAuthorPrenzel, Oliver-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordPlusHUMAN-BEHAVIOR PATTERNS-
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