Data selection interfaces for knowledge creative groupware using chat data

  • Authors:

  • Takaya Yuizono;Akifumi Kayano;Jun Munemori

  • Affiliations:

  • Department of Knowledge System Science, School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan;Department of Mathematics and Computer Science, Interdisciplinary Faculty of Science and Engineering, Shimane Univ., Matsue, Shimane, Japan;Department of Design and Information Science, Faculty of Systems Engineering, Wakayama Univ., Wakayama-shi, Wakayama, Japan

  • Venue:
  • KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
  • Year:
  • 2007

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Abstract

To catch some data including informal knowledge, the groupware named GUNGEN-SECI has supported an idea generation method with chat conversation data as same as idea data from a brainstorming session. The method with the chat data had some issues; the 70 percent of the chat data were not available and these chat data were not necessary always for the method but has a probability to stimulate human thinking. In this paper, a data flow interface is proposed to support selection and awareness of chat data for the idea generation. The interface makes some flows of the chat data like conveyor belt sushi, which is popular in Japan. The flow limits selection time for handling many chat data and the concurrent usage of the interface with the method is expected to occur an emergence of an idea data.