Interactive storytelling with literary feelings

David Pizzi, Fred Charles, Jean Luc Lugrin, Marc Cavazza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationAffective computing and intelligent interaction
EditorsAna C. R. Paiva, Rui Prada, Rosalind W. Picard
PublisherSpringer Berlin Heidelberg
Publication statusPublished - 14 Sept 2007

Publication series

NameLecture Notes in Computer Science

Bibliographical note

Author can archive post-print (ie final draft post-refereeing). For full details see [Accessed 09/02/2010]


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