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By Arvid Kappas (auth.), Sidney D’Mello, Arthur Graesser, Björn Schuller, Jean-Claude Martin (eds.)

The two-volume set LNCS 6974 and LNCS 6975 constitutes the refereed lawsuits of the Fourth overseas convention on Affective Computing and clever interplay, ACII 2011, held in Memphis,TN, united states, in October 2011.
The a hundred thirty five papers during this quantity set offered including three invited talks have been conscientiously reviewed and chosen from 196 submissions. The papers are prepared in topical sections on reputation and synthesis of human have an effect on, affect-sensitive purposes, methodological matters in affective computing, affective and social robotics, affective and behavioral interfaces, suitable insights from psychology, affective databases, assessment and annotation tools.

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Additional resources for Affective Computing and Intelligent Interaction: 4th International Conference, ACII 2011, Memphis, TN, USA, October 9–12, 2011, Proceedings, Part I

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Beale, R. ) Affect and Emotion in Human-Computer Interaction. LNCS, vol. 4868, pp. 35–50. Springer, Heidelberg (2008) 9. : Continuous Inference of Psychological Stress from Sensory Measurements Collected in the Natural Environment. In: Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Chicago, IL (April 12-14, 2011) 10. : Testing procedures for non-stationarity and non-linearity in physiological signals. Mathematical Biosciences 157, 303–320 (1999) 11.

This research addresses this problem by utilizing an updatable classifier ensemble S. D´Mello et al. ): ACII 2011, Part I, LNCS 6974, pp. 4–13, 2011. © Springer-Verlag Berlin Heidelberg 2011 Affective Modeling from Multichannel Physiology: Analysis of Day Differences 5 approach, which combines decisions from multiple classifiers. This approach was validated on physiological affective data collected from multiple subjects over multiple sessions that spanned several days. 1 Day Differences and Non-stationarity of Affective Physiological Data Picard and colleagues [6] convincingly demonstrated that affective physiological data recorded from one subject across multiple days exhibited considerable day to day variations.

This leaves us with some confidence that we can draw some generalizations from the present results. The second limitation is that the emotions were artificially induced rather than spontaneously experienced. This approach was adopted because strict laboratory control was desired in the present experiment which systematically focused on assessing and remedying the day data phenomenon. Replicating this research in more naturalistic contexts is an important step for future work. Finally, there are some additional issues to be considered for future work.

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