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Synthetic Evidential Study as Augmented Collective Thought Process – Preliminary Report

  • Toyoaki Nishida
  • Masakazu Abe
  • Takashi Ookaki
  • Divesh Lala
  • Sutasinee Thovuttikul
  • Hengjie Song
  • Yasser Mohammad
  • Christian Nitschke
  • Yoshimasa Ohmoto
  • Atsushi Nakazawa
  • Takaaki Shochi
  • Jean-Luc Rouas
  • Aurelie Bugeau
  • Fabien Lotte
  • Ming Zuheng
  • Geoffrey Letournel
  • Marine Guerry
  • Dominique Fourer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9011)

Abstract

Synthetic evidential study (SES) is a novel approach to understanding and augmenting collective thought process through substantiation by interactive media. It consists of a role-play game by participants, projecting the resulting play into a shared virtual space, critical discussions with mediated role-play, and componentization for reuse. We present the conceptual framework of SES, initial findings from a SES workshop, supporting technologies for SES, potential applications of SES, and future challenges.

Keywords

Group learning assistance Intelligent virtual agents Role play 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Toyoaki Nishida
    • 1
  • Masakazu Abe
    • 1
  • Takashi Ookaki
    • 1
  • Divesh Lala
    • 1
  • Sutasinee Thovuttikul
    • 1
  • Hengjie Song
    • 1
  • Yasser Mohammad
    • 1
  • Christian Nitschke
    • 1
  • Yoshimasa Ohmoto
    • 1
  • Atsushi Nakazawa
    • 1
  • Takaaki Shochi
    • 2
    • 3
  • Jean-Luc Rouas
    • 2
  • Aurelie Bugeau
    • 2
  • Fabien Lotte
    • 2
  • Ming Zuheng
    • 2
  • Geoffrey Letournel
    • 2
  • Marine Guerry
    • 3
  • Dominique Fourer
    • 2
  1. 1.Graduate School of InformaticsKyoto UniversitySakyo-ku, KyotoJapan
  2. 2.LaBRIBordeauxFrance
  3. 3.CLLE-ERSS UMR5263 CNRSBordeauxFrance

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