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Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence A Brain-Computer Interface to a Plan-Based Narrative

By Stephen W. Gilroy, Julie Porteous, Fred Charles and Marc Cavazza

Abstract

Interactive Narrative is a form of digital entertainment heavily based on AI techniques to support narrative generation and user interaction, significant progress arriving with the adoption of planning techniques. However, there is a lack of unified models that integrate generation, user responses and interaction. This paper addresses this by revisiting existing Interactive Narrative paradigms, granting explicit status to users ’ disposition towards story characters as part of narrative generation as well as adding support for new forms of interaction. We demonstrate this with a novel Brain-Computer Interface (BCI) design, incorporating empathy for a main character derived from brain signals within filmic conceptions of narrative which drives generation using planning techniques. Results from an experimental study with a fullyimplemented system demonstrate the effectiveness of a EEG neurofeedback-based approach, showing that subjects can successfully modulate empathic support of a character in a medical drama. MRI analysis also shows activations in associated regions of the brain during expression of support.

Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.417.5870
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