Abstract
We report work on adding an improvisational AI actor to an existing virtual improvisational environment, a text-based software system for dramatic improvisation in simple virtual scenarios, for use primarily in learning contexts. The improvisational AI actor has an affect-detection component, which is aimed at detecting affective aspects (concerning emotions, moods, value judgments, etc.) of human-controlled characters’ textual ”speeches”. The AI actor will also make an appropriate response based on this affective understanding, which intends to stimulate the improvisation. The work also accompanies basic research into how affect is conveyed linguistically. A distinctive feature of the project is a focus on the metaphorical ways in which affect is conveyed. Moreover, we have also introduced affect detection using context profiles. Finally, we have reported user testing conducted for the improvisational AI actor and evaluation results of the affect detection component. Our work contributes to the conference themes on affective user interfaces, affect inspired agent and improvisational or dramatic interaction.
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References
Picard, R.W.: Affective Computing. The MIT Press, Cambridge (2000)
Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge U. Press, Cambridge (1998)
Egges, A., Kshirsagar, S., Magnenat-Thalmann, N.: A Model for Personality and Emotion Simulation. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774. Springer, Heidelberg (2003)
Aylett, R.S., Dias, J., Paiva, A.: An affectively-driven planner for synthetic characters. In: Proceedings of ICAPS (2006)
Mateas, M.: Ph.D. Thesis. Interactive Drama, Art and Artificial Intelligence. 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)
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)
Briscoe, E., Carroll, J.: Robust Accurate Statistical Annotation of General Text. In: Proceedings of the 3rd International Conference on Language Resources and Evaluation, Las Palmas, Gran Canaria, pp. 1499–1504 (2002)
Heise, D.R.: Semantic Differential Profiles for 1,000 Most Frequent English Words. Psychological Monographs. 70 8(Whole 601) (1965)
Barnden, J., Glasbey, S., Lee, M., Wallington, A.: Varieties and Directions of Inter-Domain Influence in Metaphor. Metaphor and Symbol 19(1), 1–30 (2004)
Strapparava, C., Valitutti, A.: WordNet-Affect: An Affective Extension of WordNet. In: Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, pp. 1083-1086 (2004)
Rayson, P.: Matrix: A statistical method and software tool for linguistic analysis through corpus comparison. Ph.D. thesis, Lancaster University (2003)
Fellbaum, C.: WordNet, an Electronic Lexical Database. The MIT Press, Cambridge (1998)
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Zhang, L. (2010). Exploration on Affect Sensing from Improvisational Interaction. In: Allbeck, J., Badler, N., Bickmore, T., Pelachaud, C., Safonova, A. (eds) Intelligent Virtual Agents. IVA 2010. Lecture Notes in Computer Science(), vol 6356. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15892-6_41
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DOI: https://doi.org/10.1007/978-3-642-15892-6_41
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