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dc.contributor.authorKhosla, R.en_US
dc.contributor.authorLai, C.en_US
dc.contributor.authorChu, M-T.en_US
dc.date.accessioned2017-04-21T06:48:42Z-
dc.date.available2017-04-21T06:48:42Z-
dc.date.issued2006en_US
dc.identifier.isbn978-1-4244-0244-1en_US
dc.identifier.urihttp://hdl.handle.net/11536/135240-
dc.description.abstractEmotions form an important component of human behavior and decision making. In this paper we employ image processing and soft computing techniques to design and implement emotional state profiling of a sales candidate while they provide psychological inputs related to their selling behavior to an intelligent sales recruitment and benchmarking system. This research is part of a larger effort aimed at giving computers and other pervasive devices the skills of emotional intelligence, such as the ability to recognize a person\'s emotions and to respond appropriately to those emotions. The work reported has implications in not only in recruitment and benchmarking but also web recommender and information personalization systems.en_US
dc.language.isoen_USen_US
dc.subjectemotionsen_US
dc.subjectemotion recognitionen_US
dc.subjectemotional intelligenceen_US
dc.subjectselling behavioren_US
dc.subjectbenchmarkingen_US
dc.subjectrecruitmenten_US
dc.subjecthuman resource managementen_US
dc.titleMeasurement and comparison of non-verbal behavior and cognitive behavior in human resource management - Application in sales recruitmenten_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONSen_US
dc.citation.spage57en_US
dc.citation.epage+en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000246038000010en_US
dc.citation.woscount0en_US
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