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Abstract
Affective computing (AfC) is a continuously growing multidisciplinary field, spanning areas from artificial intelligence, throughout engineering, psychology, education, cognitive science, to sociology. Therefore, many studies have been devoted to the aim of addressing numerous issues, regarding different facets of AfC solutions. However, there is a lack of classification of the AfC systems. This study aims to fill this gap by reviewing and evaluating the state-of-the-art studies in a qualitative manner. In this line of thinking, we put forward a threefold classification that breaks down to desktop and mobile AfC systems, and AfC machines. Moreover, we identified four types of AfC systems, based on the features extracted. In our opinion, the results of this study can serve as a guide for future affect-related research and design, on the one hand, and provide a better understanding on the role of emotions and affect in human-computer interaction, on the other hand.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.procs.2022.09.441
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Procedia Computer Science
no. 207,
pages 3798 - 3807,
ISSN: 1877-0509 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Weichbroth P., Sroka W.: A note on the affective computing systems and machines: a classification and appraisal// Procedia Computer Science -,iss. 207 (2022), s.3798-3807
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.procs.2022.09.441
- Verified by:
- Gdańsk University of Technology
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