Affective Computing and Intelligent Interaction: 4th by Arvid Kappas (auth.), Sidney D’Mello, Arthur Graesser, Björn

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 complaints of the Fourth foreign convention on Affective Computing and clever interplay, ACII 2011, held in Memphis,TN, united states, in October 2011.
The one hundred thirty five papers during this quantity set provided including three invited talks have been rigorously reviewed and chosen from 196 submissions. The papers are geared up in topical sections on attractiveness and synthesis of human impact, affect-sensitive purposes, methodological concerns in affective computing, affective and social robotics, affective and behavioral interfaces, suitable insights from psychology, affective databases, review and annotation tools.

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Extra 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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Morgan Kaufmann, San Francisco (2005) 20. : Classification, parameter estimation and state estimation - an engineering approach using Matlab. John Wiley & Sons, Chichester (2004) 21. : Statistical pattern recognition: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 4–37 (2000) 22. : Data clustering: a review. ACM Comput. Surv. d. Baker1, Gregory R. Moore1, Angela Z. Wagner2, Jessica Kalka2, Aatish Salvi1, Michael Karabinos3, Colin A. edu Abstract. We present an analysis of the affect that precedes, follows, and cooccurs with students’ choices to go off-task or engage in on-task conversation within two versions of a virtual laboratory for chemistry.

IEEE Trans. Pattern Anal. Mach. Intell. 30, 2067–2083 (2008) 6. : Toward Machine Emotional Intelligence: Analysis of Affective Physiological State. IEEE Trans. Pattern Anal. Mach. Intell. 23, 1175–1191 (2001) 7. : Emotion recognition system using short-term monitoring of physiological signals. Medical and Biological Engineering and Computing 42, 419–427 (2004) 8. : Comparing Two Emotion Models for Deriving Affective States from Physiological Data. , Beale, R. ) Affect and Emotion in Human-Computer Interaction.

The activity lassted approximately 45 minutes,, with students randomly assigned to the two conditioons. , each classs had students in each condition). d. Baker et al. an ordering of observation was chosen based on the computer laboratory’s layout, and was enforced using the hand-held observation software. Each observation lasted up to twenty seconds, with observation time so far noted by the hand-held observation software. If affect and behavior were determined before twenty seconds elapsed, the coder moved to the next observation.

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