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2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII) (2017)
San Antonio, TX, USA
Oct. 23, 2017 to Oct. 26, 2017
ISSN: 2156-8111
ISBN: 978-1-5386-0564-6
pp: 248-255
Georgios N. Yannakakis , University of Malta
Roddy Cowie , Queen's University, Belfast
Carlos Busso , The University of Texas at Dallas
ABSTRACT
Representing computationally everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing. Standard practice in emotion annotation is to ask humans to assign an absolute value of intensity to each emotional behavior they observe. Psychological theories and evidence from multiple disciplines including neuroscience, economics and artificial intelligence, however, suggest that the task of assigning reference-based (relative) values to subjective notions is better aligned with the underlying representations than assigning absolute values. Evidence also shows that we use reference points, or else anchors, against which we evaluate values such as the emotional state of a stimulus; suggesting again that ordinal labels are a more suitable way to represent emotions. This paper draws together the theoretical reasons to favor relative over absolute labels for representing and annotating emotion, reviewing the literature across several disciplines. We go on to discuss good and bad practices of treating ordinal and other forms of annotation data, and make the case for preference learning methods as the appropriate approach for treating ordinal labels. We finally discuss the advantages of relative annotation with respect to both reliability and validity through a number of case studies in affective computing, and address common objections to the use of ordinal data. Overall, the thesis that emotions are by nature relative is supported by both theoretical arguments and evidence, and opens new horizons for the way emotions are viewed, represented and analyzed computationally.
INDEX TERMS
Reliability, Psychology, Task analysis, Data models, Decision making, Affective computing, Economics
CITATION

G. N. Yannakakis, R. Cowie and C. Busso, "The ordinal nature of emotions," 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, TX, USA, 2017, pp. 248-255.
doi:10.1109/ACII.2017.8273608
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