Abstract
Interactive narrative (IN) has increasingly been used for social skill training. However, extensive content creation is needed to provide learners with flexibility to replay scenarios with sufficient variety to achieve proficiency. Such flexibility requires considerable content creation appropriate for social skills training. The goal of our work is to address these issues through developing a generative narrative approach that re-conceptualizes social training IN as an improvisation using Stanislavsky’s Active Analysis (AA), and utilizes AA to create a crowd sourcing content creation method. AA is a director guided rehearsal technique that promotes Theory of Mind skills critical to social interaction and decomposes a script into key events. In this paper, we discuss AA and the iterative crowd sourcing approach we developed to generate rich, coherent content that can be used to develop a generative model for interactive narrative.
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Notes
- 1.
All generated stories can be found at http://www.northeastern.edu/cesar/project/IxN.
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Acknowledgment
Funding for this research was provided by the National Science Foundation Cyber-Human Systems under Grant No. 1526275.
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Feng, D., Carstensdottir, E., Carnicke, S.M., El-Nasr, M.S., Marsella, S. (2016). An Active Analysis and Crowd Sourced Approach to Social Training. In: Nack, F., Gordon, A. (eds) Interactive Storytelling. ICIDS 2016. Lecture Notes in Computer Science(), vol 10045. Springer, Cham. https://doi.org/10.1007/978-3-319-48279-8_14
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