At the request of the main IUI conference, we will be taking submissions until December 12, 2008
"Knowledge is stories" - Roger Schank
While much work in AI has represented simple knowledge about everyday life and activities at the word, sentence, and logical assertion level, we see a growing need to understand it at a larger granularity, that of stories. A story is a short, focused description of people and events occurring over time, that has a "point" -- to inform, teach, question, entertain, educate, illustrate or amuse.
Capturing common sense knowledge often involves uncovering the implicit, unstated assumptions behind communication, often best expressed through stories. Work in story representations dates back to Schank-style scripts and other efforts in the 80s, but recent developments have unleashed new potential in this area. The maturity of common sense knowledge bases such as Cyc, Open Mind and ThoughtTreasure; statistical and corpora-based natural language understanding techniques; the explosion of participatory knowledge collection over the Web; progress in cognitive science; the popularity of Web-based storytelling media such as blogs; and new common sense reasoning techniques are all enablers of the new generation of work on common sense stories.
Accepted Talks, Posters and Demos
Eliciting collaborative social interactions through online gamesJason B. Alonso, Angela Chang, Jeff Orkin and Cynthia Breazeal, MIT Media Lab/Center for Future Storytelling
Experience-based Narrative Memory
Michael T. Cox, DARPA/IPTO David W. Aha
Naval Research Laboratory
"I Don't Know What I Mean Until I Say It": The Need to Incorporate the Effects of Language Generation on the Speaker
William Ferguson, BNN Technologies
Method for Automatically Generating Networks of Personal Relationships from Story Summaries
Jun Goto, NHK Science and Technical Research Laboratories
New learning environment for enhancing story telling activities of children with intellectual disabilities/autism using personal robot in the classroom
Tetsuya Munekata, the National Institute of Special Needs Education of Japan
Yoshihiro Fujita and Toshihiro Nishizawa , NEC Corporation
Learning Hierarchical Plans by Reading Simple English Narratives
Dustin Smith and Kenneth Arnold, MIT Media Lab
Capturing Common Sense Knowledge via Story Generation
Kaoru Sumi, National Institute of Information & Communications Technology, Japan
Human XP: Representing Belief, Desire, and Hidden Meanings
Jerry Weltman, Louisiana State University
Topics
Topics include, but are by no means limited to:
- Story understanding and natural language understanding
- Extraction of common sense knowledge from stories
- A cognitive modeling based understanding of stories
- Common sense knowledge bases to facilitate story understanding and story generation
- Acquiring story knowledge from users or from the internet
- Representation and reasoning with story knowledge
- Blogs and nonlinear fiction and nonfiction media as a source of stories or as a domain
- Interfaces to facilitate storytelling by users in text, audio, pictures, and video media
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