Emotion-oriented eCommerce

dc.creatorLeon, Simone
dc.creatorNikov, Alexander
dc.date.accessioned2012-10-03T13:50:01Z
dc.date.accessioned2019-08-05T18:28:12Z
dc.date.available2012-10-03T13:50:01Z
dc.date.available2019-08-05T18:28:12Z
dc.date.created2012-10-03T13:50:01Z
dc.date.issued2012-10-03
dc.identifierhttp://hdl.handle.net/2139/13354
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3022889
dc.description.abstractEmotion-oriented eCommerce is a new and fascinating research field that poses many opportunities to understanding the purchasing behaviour of online consumers. Computational models can be easily applied to analyze and assess predictive behaviour in an eCommerce environment. Intelligent emotion recognition techniques using computational intelligence are presented. The purpose of this particular study is to develop a model for emotion-oriented eCommerce systems. Developments within this field of study were noted. Electroencephalography has been identified as the preferred method of emotion technique.
dc.languageen
dc.subjectEmotion-oriented eCommerce
dc.subjectComputational intelligence
dc.subjectElectroencephalography
dc.subjectSimulation
dc.titleEmotion-oriented eCommerce
dc.typeArticle


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