In this paper, we introduce the method of story envisioning as an efficient approach to collective storytelling in daily conversation and training procedure. The goal of story envisioning is to provide intuitive, concrete and consistent visualization contents as interactive drama for storytellers who are not professional at storytelling. We employ graphic recording to symbolize and visualize the stories written in natural language. We built a partially automated framework TSEiA that allows storytellers to visualize and edit the stories. By traversing through the whole story structure, storytellers are also able to compare and analyze different consequences of branches. Preliminary experiments showed that using visualized interactive drama can help participants have better understanding to the conversation from culture and personality viewpoint. Simultaneously, story envisioning could help the storytellers organize the story structure in a better way and enhance the immersion of their stories. Game platform powered by TSEiA was built to illustrate how story envisioning could be considered as an effective tool for collective storytelling and content generation.
CITATION STYLE
Zhang, Q., Sadat Mirzaei, M., Huang, H. H., & Nishida, T. (2019). Story Envisioning Framework for Visualized Collective Storytelling in Conversation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11569 LNCS, pp. 250–261). Springer Verlag. https://doi.org/10.1007/978-3-030-22660-2_17
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