Pervasive Emotions in Pervasive Computing Environments

The capability of an intelligent environment to connect and adapt to real internal sates, needs and behavioral meaning of humans can be made possible by considering peoples emotional states as contextual parameters. In this paper, we build on enactive psychology and investigate the incorporation of emotions in pervasive systems. We redefine emotions, and discuss the coding of emotional human markers by smart environments. In addition, we compare several existing works and identify how emotions can be detected and modeled by a pervasive system in order to enhance its service and response to users. Finally, we analyze comprehensively an XML based language for representing and annotating emotions known as EARL and raise two important issues which pertain to emotion representation and modeling in XML based languages.