The Community for Technology Leaders
RSS Icon
Issue No.03 - July-September (2011 vol.10)
pp: 54-57
<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>
user emotional state, affective computing, experimental methodology, data acquisition, emotion recognition
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
1. R. Picard, Affective Computing, MIT Press, 1997.
2. M.M. Bradly and P.J. Lang, "Measuring Emotion: The Self-Assessment Manikin and the Semantic Differential," J. Behavior Therapy and Experimental Psychiatry, vol. 25, no. 1, 1994, pp. 49–59.
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.
5. P.J. Lang et al., International Affective Picture System (IAPS). Affective Ratings of Pictures and Instruction Manual, tech. report A-8, Univ. of Fla., 2008.
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.
23 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool