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Issue No.03 - July-September (2011 vol.10)
pp: 54-57
ABSTRACT
<p>Equipping a machine with emotional sensitivity is considered a major step toward more human-like man-machine interaction. Because emotions are subjective, designing experiments to acquire ground truth data for training and testing emotion-recognition components is challenging. This is all the more true for pervasive computing environments, where users are exposed to a more diverse of stimuli than under laboratory conditions. Here, the author identifies problems of current evaluation practices, explains why they aren't appropriate to assess the performance of emotion-recognition components under real-life conditions, and presents some first ideas for designing experiments that reflect the situation outside the lab.</p>
INDEX TERMS
user emotional state, affective computing, experimental methodology, data acquisition, emotion recognition
CITATION
Elisabeth André, "Experimental Methodology in Emotion-Oriented Computing", IEEE Pervasive Computing, vol.10, no. 3, pp. 54-57, July-September 2011, doi:10.1109/MPRV.2011.50
REFERENCES
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3. P. Ekman and W. Friesen, Facial Action Coding System: A Technique for the Measurement of Facial Movement, Consulting Psychologists Press, 1978.
4. R. Cowie and R.R. Cornelius, "Describing the Emotional States That Are Expressed in Speech," J. Speech Comm., vol. 40, no. 1–2, 2003, pp. 5–32.
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6. J. Wagner, F. Lingenfelser, and E. André, "Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data," IEEE Trans. Affective Computing, 2011, to appear.
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