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Towards Emotion Classification Using Appraisal Modeling
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Author(s): Gert-Jan de Vries (Philips Research, The Netherlands & University of Groningen, The Netherlands), Paul Lemmens (Philips Research, The Netherlands), Dirk Brokken (Philips Consumer Lifestyle, The Netherlands), Steffen Pauws (Philips Research, The Netherlands)and Michael Biehl (University of Groningen, The Netherlands)
Copyright: 2016
Pages: 21
Source title:
Psychology and Mental Health: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0159-6.ch023
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Abstract
The authors studied whether a two-step approach based on appraisal modeling could help in improving performance of emotion classification from sensor data that is typically executed in a one-stage approach in which sensor data is directly classified into a (discrete) emotion label. The proposed intermediate step is inspired by appraisal models in which emotions are characterized using appraisal dimensions, and subdivides the task in a person-dependent and person-independent stage. In this paper, the authors assessed feasibility of this second stage: the classification of emotion from appraisal data. They applied a variety of machine learning techniques and used visualization techniques to gain further insight into the classification task. Appraisal theory assumes the second step to be independent of the individual. Results obtained are promising, but do indicate that not all emotions can be equally well classified, perhaps indicating that the second stage is not as person-independent as proposed in the literature.
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