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An Interactive Narrative Platform for Story Understanding Experiments

Porteous, Julie, Charles, Fred, Smith, Cameron, Cavazza, Marc, van den Broek, Paul, Mouw, Jolien (2017) An Interactive Narrative Platform for Story Understanding Experiments. In: 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), 8-12 May 2017, Sao Paolo, Brazil. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:60784)

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Abstract

Interactive Narratives are systems that use automated narrative generation techniques to create multiple story variants which can be shown to an audience, as virtual narratives, using cinematic staging techniques. The focus of previous research has included aspects such as the quality of automatically generated narratives and the way in which audiences respond to them. However in this work we have developed a mechanism for control of interactive narratives that supports their use in experiments to assess story understanding.

This is implemented in our demonstration system, which features two parts: an interface that allows high-level specification of criteria for story understanding experiments; and a participant interface in which virtual narratives, conforming to the experimental design, are presented as 3D visualizations. The virtual narrative is based on a pre-existing children’s story, and features a cast of virtual characters.

Item Type: Conference or workshop item (Other)
Uncontrolled keywords: Interactive Narrative, Development Psychology
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.575 Multimedia systems
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Marc Cavazza
Date Deposited: 09 Mar 2017 15:37 UTC
Last Modified: 16 Feb 2021 13:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/60784 (The current URI for this page, for reference purposes)

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