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 provided including three invited talks have been conscientiously reviewed and chosen from 196 submissions. The papers are equipped in topical sections on attractiveness and synthesis of human impact, affect-sensitive functions, methodological concerns in affective computing, affective and social robotics, affective and behavioral interfaces, proper insights from psychology, affective databases, review and annotation tools.
Read Online or Download Affective Computing and Intelligent Interaction: 4th International Conference, ACII 2011, Memphis, TN, USA, October 9–12, 2011, Proceedings, Part I PDF
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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
Keywords: Emotion measurement, ambulatory sensing, electrodermal activity, skin conductance, autonomic nervous system, physiology, facial expression analysis, cardiocam, Q™ Sensor, Affdex, positive psychology, mobile sensing. S. D´Mello et al. ): ACII 2011, Part I, LNCS 6974, p. 3, 2011. © Springer-Verlag Berlin Heidelberg 2011 Affective Modeling from Multichannel Physiology: Analysis of Day Differences Omar Alzoubi1, Md. Sazzad Hussain1, Sidney D’Mello2, and Rafael A. edu Abstract. Physiological signals are widely considered to contain affective information.
3], a behavior where students engage in systematic guessing or rapid help requests to obtain answers without thinking through the learning material. In , it was reported that off-task behavior leads to different affective consequences, depending on whether off-task behavior follows confusion or frustration; confusion followed by off-task behavior leads to frustration or boredom, whereas frustration followed by off-task behavior leads to positive engagement. g. self-report of overall prevalence of affect and behavior rather than transitions over seconds or minutes).
L is computed as shown in equation 1: | (1) A value of 1 means that the transition/co-occurrence will always occur, whereas a value of 0 means that the transition’s likelihood is exactly what it would be if we were to predict the transition using only the base frequency of the destination state. Values Table 1. Prevalence of each student behavior in the sample (averaged within students and then averaged across students). ” are excluded from analysis. d. Baker et al. Table 2. Prevalence of each affective state in the sample (averaged within students and then averaged across students).