Abstract
Real-time contextual affect sensing from open-ended multithreaded dialogue is challenging but essential for the building of effective intelligent user interfaces. In this paper, we focus on context-based affect detection using emotion modeling in personal and social communication context. It focuses on the prediction both of the improvisational mood of each character and emotional implication in direct related improvisational context during the creative improvisation. Evaluation results indicate that the new developments on contextual affect sensing enabled an affect inspired AI agent to outperform its previous version in affect sensing tasks.
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References
Zhang, L., Gillies, M., Dhaliwal, K., Gower, A., Robertson, D., Crabtree, B.: E-drama: Facilitating Online Role-play using an AI Actor and Emotionally Expressive Characters. International Journal of Artificial Intelligence in Education 19(1), 5–38 (2009)
Zhang, L.: Exploitation on Contextual Affect Sensing and Dynamic Relationship Interpretation. ACM Computer in Entertainment 8(3) (2010)
Sperber, D., Wilson, D.: Relevance: Communication and cognition, 2nd edn. Blackwell, Oxford (1995)
Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1998)
Prendinger, H., Ishizuka, M.: Simulating affective communication with animated agents. In: The Proceedings of Eighth IFIP TC.13 Conference on Human–Computer Interaction, Tokyo, Japan, pp. 182–189 (2001)
Mehdi, E.J., Nico, P., Julie, D., Bernard, P.: Modeling character emotion in an interactive virtual environment. In: Proceedings of AISB 2004 Symposium: Motion, Emotion and Cognition, Leeds, UK (2004)
Gratch, J., And Marsella, S.: A domain-independent framework for modeling emotion. Journal of Cognitive Systems Research 5, 269–306 (2004)
Aylett, A., Louchart, S., Dias, J., Paiva, A., Vala, M., Woods, S., Hall, L.E.: Unscripted Narrative for Affectively Driven Characters. IEEE Computer Graphics and Applications 26(3), 42–52 (2006)
Liu, H., Singh, P.: ConceptNet: A practical commonsense reasoning toolkit. BT Technology Journal 22 (2004)
Shaikh, M.A.M., Prendinger, H., Mitsuru, I.: Assessing Sentiment of Text by Semantic Dependency and Contextual Valence Analysis. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds.) ACII 2007. LNCS, vol. 4738, pp. 191–202. Springer, Heidelberg (2007)
Mateas, M.: Interactive Drama, Art and Artificial Intelligence. Ph.D. Thesis. School of Computer Science. Carnegie Mellon University (2002)
Zhe, X., Boucouvalas, A.C.: Text-to-Emotion Engine for Real Time Internet Communication. In: Proceedings of International Symposium on Communication Systems, Networks and DSPs, Staffordshire University, UK, pp. 164–168 (2002)
Craggs, R., Wood, M.: A Two Dimensional Annotation Scheme for Emotion in Dialogue. In: Proceedings of AAAI Spring Symposium: Exploring Attitude and Affect in Text (2004)
Ptaszynski, M., Dybala, P., Shi, W., Rzepka, R., Araki, K.: Towards Context Aware Emotional Intelligence in Machines: Computing Contextual Appropriateness of Affective States. In: Proceeding of IJCAI 2009 (2009)
López, J.M., Gil, R., García, R., Cearreta, I., Garay, N.: Towards an Ontology for Describing Emotions. In: Lytras, M.D., Damiani, E., Tennyson, R.D. (eds.) WSKS 2008. LNCS (LNAI), vol. 5288, pp. 96–104. Springer, Heidelberg (2008)
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Zhang, L. (2012). Exploitation in Context-Sensitive Affect Sensing from Improvisational Interaction. In: Pan, Z., Cheok, A.D., Müller, W., Chang, M., Zhang, M. (eds) Transactions on Edutainment VIII. Lecture Notes in Computer Science, vol 7220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31439-1_2
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DOI: https://doi.org/10.1007/978-3-642-31439-1_2
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