DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sang Wan | ko |
dc.contributor.author | Prenzel, Oliver | ko |
dc.contributor.author | Bien, Zeung nam | ko |
dc.date.accessioned | 2016-05-12T03:04:53Z | - |
dc.date.available | 2016-05-12T03:04:53Z | - |
dc.date.created | 2013-11-05 | - |
dc.date.created | 2013-11-05 | - |
dc.date.created | 2013-11-05 | - |
dc.date.created | 2013-11-05 | - |
dc.date.issued | 2013-02 | - |
dc.identifier.citation | COMPUTER, v.46, no.2, pp.46 - 52 | - |
dc.identifier.issn | 0018-9162 | - |
dc.identifier.uri | http://hdl.handle.net/10203/207228 | - |
dc.description.abstract | IoT 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.language | English | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.title | Applying Human Learning Principles to User-Centered IoT Systems | - |
dc.type | Article | - |
dc.identifier.wosid | 000314943300015 | - |
dc.identifier.scopusid | 2-s2.0-84873628793 | - |
dc.type.rims | ART | - |
dc.citation.volume | 46 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 46 | - |
dc.citation.endingpage | 52 | - |
dc.citation.publicationname | COMPUTER | - |
dc.contributor.localauthor | Lee, Sang Wan | - |
dc.contributor.localauthor | Bien, Zeung nam | - |
dc.contributor.nonIdAuthor | Prenzel, Oliver | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | HUMAN-BEHAVIOR PATTERNS | - |
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