Towards integrating emotion into intelligent context

Abstract

Context-aware systems have traditionally employed a limited range of contextual data. While research is addressing an increasingly broad range of contextual data, the level of intelligence generated in context-aware systems is restricted by the failure to effectively implement emotional response. This paper considers emotion as it relates to context and the application of computational intelligence in context-aware systems. Following an introduction, personalization and the computational landscape is considered and context is introduced. Computational intelligence and the relationship to the Semantic Web is discussed with consideration of the nature of knowledge and a brief overview of knowledge engineering. Cognitive conceptual models and semiotics are introduced with a comparative analysis and approaches to implementation. Ongoing research with illustrative 'next generation' intelligent context-aware systems incorporating emotional responses are briefly considered. The paper concludes with a discussion where the challenges and opportunities are addressed; there are closing observations, consideration of future directions for research, and identification of open research questions. © 2013 Springer-Verlag.