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 a hundred thirty five papers during this quantity set awarded including three invited talks have been conscientiously reviewed and chosen from 196 submissions. The papers are prepared in topical sections on acceptance and synthesis of human have an effect on, affect-sensitive functions, methodological matters in affective computing, affective and social robotics, affective and behavioral interfaces, correct insights from psychology, affective databases, evaluate and annotation tools.
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Extra info for Affective Computing and Intelligent Interaction: 4th International Conference, ACII 2011, Memphis, TN, USA, October 9–12, 2011, Proceedings, Part I
4], and in line with Planalp et al’s  descriptive research on how humans generally identify affect using multiple cues in concert for maximum accuracy rather than attempting to select individual cues. The judgments of behavior and affect were based on a sub-set of the coding scheme used in . Within an observation, each observer coded affect with reference to five categories: boredom, confusion, engaged concentration (the affect associated with the flow state [cf. ”, which refers to any affect outside the coding scheme, including eureka, delight, and surprise.
Springer, Heidelberg (2004) 13. : Estimation and decision fusion: A survey. Neurocomputing 71, 2650–2656 (2008) 14. : Classifier ensembles: Select real-world applications. Information Fusion 9, 4–20 (2008) 15. : An Ensemble Approach for Incremental Learning in Nonstationary Environments. , Roli, F. ) MCS 2007. LNCS, vol. 4472, pp. 490–500. Springer, Heidelberg (2007) 16. : International affective picture system (IAPS): Technical manual and affective ratings. The Center for Research in Psychophysiology, University of Florida, Gainesville, FL (1995) 17.
However, the performance of the algorithm is expected to reflect the performance/s of its member classifier/s. Multiple classification algorithms could be used as base classifiers if needed, this is yet to be evaluated in future work. 3 Results and Discussions Cohen’s kappa was used to assess the agreement between subjects’ self reports and IAPS mapped ratings for valence and arousal. 91). 46). Clearly, the IAPS stimuli was quite successful in eliciting valence, but was much less effective in influencing arousal.
Affective Computing and Intelligent Interaction: 4th International Conference, ACII 2011, Memphis, TN, USA, October 9–12, 2011, Proceedings, Part I by Arvid Kappas (auth.), Sidney D’Mello, Arthur Graesser, Björn Schuller, Jean-Claude Martin (eds.)