In this paper, the authors describe the integration of Natural Language Processing (NLP) within an emotional planner to support Interactive Storytelling. Their emotional planner is based on a standard HSP planner, whose originality is drawn from altering the agents’ beliefs and emotional states. Each character is driven by its own planner, while characters are able to operate on their reciprocal feelings thus affecting each other. Our baseline story is constituted by a classic XIXth century French novel from Gustave Flaubert in which characters feelings play a dominant role. This approach benefits from the fact that Flaubert has described a specific ontology for his characters feelings. The objective of NLP should be to uncover from natural language utterances the same kind of affective elements, which requires an integration between NLP and the planning component at the level of semantic content. This research is illustrated with examples from a first fully integrated prototype comprising NLP, emotional planning and real-time 3D animation.
|Title of host publication||Affective computing and intelligent interaction|
|Editors||Ana C. R. Paiva, Rui Prada, Rosalind W. Picard|
|Publisher||Springer Berlin Heidelberg|
|Publication status||Published - 14 Sep 2007|
|Name||Lecture Notes in Computer Science|
Bibliographical noteAuthor can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 09/02/2010]
Pizzi, D., Charles, F., Lugrin, J. L., & Cavazza, M. (2007). Interactive storytelling with literary feelings. In A. C. R. Paiva, R. Prada, & R. W. Picard (Eds.), Affective computing and intelligent interaction (pp. 630-641). (Lecture Notes in Computer Science). Springer Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-540-74889-2_55