Human Rating of Emotional Expressions - Scales vs. Preferences

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https://www.scitepress.org/Link.aspx?doi=10.5220/0004727602400245

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http://hdl.handle.net/11603/29978

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UMBC Information Systems Department

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https://orcid.org/0000-0003-1007-2553

Date

2014

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conference papers and proceedings
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Citation of Original Publication

Pasch, M.; Kleinsmith, A. and Landoni, M. (2014). Human Rating of Emotional Expressions - Scales vs. Preferences. In Proceedings of the International Conference on Physiological Computing Systems - PhyCS; ISBN 978-989-758-006-2; ISSN 2184-321X, SciTePress, pages 240-245. DOI: 10.5220/0004727602400245

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Abstract

Human ratings of emotional expressions are the foundation for building and training automatic affect recognition systems. We compare two rating schemes for labeling emotional expressions: likert scales and pair-wise preferences. A statistical analysis shows that while there is a strong correlation between the two schemes, there are also frequent mismatches. Our findings indicate that the schemes perform differently well per affect label. We discuss reasons for this and outline planned future work based on the findings.