Affective conception of information and affect representation in information systems
Affective conception of information and affect representation in information systems

Summary/Abstract: Purpose/Thesis: The aim of this paper is to introduce an affective conception of information by expanding the contemporary mainstream semantic definition of information with an additional subjective constituent. Approach/Methods: Pursuing critical literature review methodology the author addresses the following central questions of the paper: (i) is affect an information kind and if so what kind of informationis it, (ii) would affect representation in information systems be of any theoretical or practical value and how such representation could be implemented. Results and conclusion: This paper suggest that we are in the advent of a paradigm shift in information theory and knowledge representation which leads to the emergence of affective information theory and experiential knowledge representation. Originality/Value: In this paper we propose that affect should be regarded and represented as metainformation which carries complementary information about agent’s subjective experiences that amalgamate under unified state of mind corresponding to the cognitive appreciation of the intentional semantic contents of the information. Furthermore an affect representation model based on state ofthe art in affective neuroscience has been proposed.

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