Abstract
In this paper we’ll present a dimensional semantic model of emotion locating the former in a four axes space in the attempt to quantify emotion considered as constantly changing with time rather than to label it. The Multidimensional Emotional Appraisal Semantic Space (MEAS) is a method according to which the most relevant features to measure emotions are: a dimensional approach to emotion, the multimodality of expressive signals and the embodied nature of the emotional interaction. Four dimensions have been selected: novelty, pleasantness, coping and arousal. The componential organization all these different levels gives birth to multiple and fuzzy emotional experiences that are in part signalled through patterns of non verbal expression and that can change their intensity in relation to the relevance of the event for the individual and in relation to the arousal given by physiological signals.
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Ciceri, M.R., Balzarotti, S. (2007). Multidimensional Emotional Appraisal Semantic Space (MEAS): Evaluating HM Affective Interactions. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_50
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DOI: https://doi.org/10.1007/978-3-540-74827-4_50
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