Groupware for a new idea generation with the semantic chat conversation data

  • Authors:

  • Takaya Yuizono;Akifumi Kayano;Tomohiro Shigenobu;Takashi Yoshino;Jun Munemori

  • Affiliations:

  • Department of Mathematics and Computer Science, Interdisciplinary Faculty of Science and Engineering, Shimane Univ., Shimane, Japan;Department of Mathematics and Computer Science, Interdisciplinary Faculty of Science and Engineering, Shimane Univ., Shimane, Japan;Department of Design and Information Science, Faculty of Systems Engineering, Wakayama Univ., Wakayama, Japan;Department of Design and Information Science, Faculty of Systems Engineering, Wakayama Univ., Wakayama, Japan;Department of Design and Information Science, Faculty of Systems Engineering, Wakayama Univ., Wakayama, Japan

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2005

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Abstract

The GUNGEN groupware for a new idea generation has been developed and applied to the KJ method with chat conversation data. First, Remote Wadaman V, which is a seminar system equipped with the semantic chat function, supports collecting the chat data as knowledge including explicit and implicit knowledge via cooperative interaction. The semantic chat function allows user to assert semantics corresponding to chat statements with one-selection interface. Next, KUSANAGI supports cooperative idea creation from the collected chat data leaded by the KJ method. The Remote Wadaman V with the semantic chat function has been applied to seminar over half year. The availability of chat data as an ideal label for an idea generation method was investigated.