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Synthetic Evidential Study for Deepening Inside Their Heart

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Current Approaches in Applied Artificial Intelligence (IEA/AIE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9101))

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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References

  1. Nishida, T.: Towards Mutual Dependency between Empathy and Technology, 25th anniversary volume. AI & Society 28(3), 277–287 (2013)

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  4. 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)

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  5. 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)

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Authors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan

    Takashi Ookaki, Masakazu Abe, Masahiro Yoshino, Yoshimasa Ohmoto & Toyoaki Nishida

Authors
  1. Takashi Ookaki
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  2. Masakazu Abe
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  3. Masahiro Yoshino
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  4. Yoshimasa Ohmoto
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  5. Toyoaki Nishida
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Corresponding author

Correspondence to Toyoaki Nishida .

Editor information

Editors and Affiliations

  1. Texas State University, San Marcos, Texas, USA

    Moonis Ali

  2. Dongguk University, Seoul, Korea, Republic of (South Korea)

    Young Sig Kwon

  3. Dongguk University, Seoul, Korea, Republic of (South Korea)

    Chang-Hwan Lee

  4. Dongguk University, Seoul, Korea, Republic of (South Korea)

    Juntae Kim

  5. Seoul National University, Seoul, Korea, Republic of (South Korea)

    Yongdai Kim

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© 2015 Springer International Publishing Switzerland

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19065-5

  • Online ISBN: 978-3-319-19066-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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