Interactive storytelling with literary feelings

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Authors: Pizzi, D., Charles, F., Lugrin, J.L. and Cavazza, M.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 4738 LNCS

Pages: 630-641

eISSN: 1611-3349

ISBN: 9783540748885

ISSN: 0302-9743

In this paper, we describe the integration of Natural Language Processing (NLP) within an emotional planner to support Interactive Storytelling. Our 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. © Springer-Verlag Berlin Heidelberg 2007.

This data was imported from Web of Science (Lite):

Authors: Pizzi, D., Charles, F., Lugrin, J.-L. and Cavazza, M.

Journal: AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS

Volume: 4738

Pages: 630-641

ISBN: 978-3-540-74888-5

ISSN: 0302-9743

The data on this page was last updated at 04:55 on May 22, 2019.