Abstract
Synthetic evidential study (SES) is a novel technology-enhanced methodology that combines dramatic role play and group discussion to help people learn by spinning stories comprised of partial thoughts and evidence. The SES Support System combines a game engine and an augmented conversation technology to help with the facilitation of SES workshops. We performed a feasibility study with a partial implementation of SES and simplified SES sessions and obtained numerous supportive findings.
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Nishida, T.: Towards Mutual Dependency between Empathy and Technology, 25th anniversary volume. AI & Society 28(3), 277–287 (2013)
Hawkins, S.: Dramatic Problem Solving: Drama-Based Group Exercises for Conflict Transformation, Jessica Kingsley Publishers (2012)
Cavazza, M., Lugrin, J.L., Pizzi, D., Charles, F.: Madame Bovary on the holodeck: immersive interactive storytelling. In: MULTIMEDIA 2007: Proc. of the 15th International Conference on Multimedia, ACM, pp. 651-660 (2007)
Nishida, T., Abe, M., Ookaki, T., Lala, D., Thovuttikul, S., Song, H., Mohammad, Y., Nitschke, C., Ohmoto, Y., Nakazawa, A., Shochi, T., Rouas, J.-L., Bugeau, A., Lotte, F., Zuheng, M., Letournel, G., Guerry, M., Fourer, D.: Synthetic evidential study as augmented collective thought process – preliminary report. In: Nguyen, N.T., Trawiński, B., Kosala, R. (eds.) ACIIDS 2015. LNCS, vol. 9011, pp. 13–22. Springer, Heidelberg (2015)
Nishida, T., Nakazawa, A., Ohmoto, Y., Nitschke, C., Mohammad, Y., Thovuttikul, S., Lala, D., Abe, M., Ookaki, T.: Synthetic Evidential Study as Primordial Soup of Conversation. In: Chu, W., Kikuchi, S., Bhalla, S. (eds.) DNIS 2015. LNCS, vol. 8999, pp. 74–83. Springer, Heidelberg (2015)
Nishida, T., Nakazawa, A., Ohmoto, Y., Mohammad, Y.: Conversational Informatics–A Data-Intensive Approach with Emphasis on Nonverbal Communication, Springer (2014)
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Ookaki, T., Abe, M., Yoshino, M., Ohmoto, Y., Nishida, T. (2015). Synthetic Evidential Study for Deepening Inside Their Heart. In: Ali, M., Kwon, Y., Lee, CH., Kim, J., Kim, Y. (eds) Current Approaches in Applied Artificial Intelligence. IEA/AIE 2015. Lecture Notes in Computer Science(), vol 9101. Springer, Cham. https://doi.org/10.1007/978-3-319-19066-2_16
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DOI: https://doi.org/10.1007/978-3-319-19066-2_16
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