Effective knowledge sharing based on symbiotic computing and its application to networked cooperative works

Takuo Suganuma, Toshimitsu Miyamoto, Jun Makishi, Gen Kitagata, Norio Shiratori

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    We propose a new knowledge sharing scheme to effectively support networked cooperative works in this paper. Our scheme controls information flow from Real Space (RS) to Digital Space (DS) and reverse direction, based on the concept of "Symbiotic Computing". In practice, our scheme controls the availability of shared workspace in DS for cooperative works, according to the situation of tasks and users in RS, in order to accelerate the progress of the works. Using this scheme, advanced support to improve quality of intellectual cooperative works can be realized. In this paper, we apply our proposed scheme to a group learning domain. This is an educational activity domain where group members, including a teacher and several students cooperatively solve given problems. From experimental results, we found that the cooperative problem solving by the teacher and students were accelerated. We also confirmed that the learning outcomes were improved. Finally, we verified that our system can enhance the group learning effects by controlling the availability of the shared workspace based on the progress of the group learning process.

    Original languageEnglish
    Title of host publicationProceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007
    Pages332-341
    Number of pages10
    DOIs
    Publication statusPublished - 2007
    Event6th IEEE International Conference on Cognitive Informatics, ICCI 2007 - Lake Tahoe, CA
    Duration: 2007 Aug 62007 Aug 8

    Other

    Other6th IEEE International Conference on Cognitive Informatics, ICCI 2007
    CityLake Tahoe, CA
    Period07/8/607/8/8

    Fingerprint

    Availability
    Students
    Knowledge sharing
    Group learning
    Learning effect
    Education
    Information flow
    Learning outcomes
    Problem solving
    Learning process

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Information Systems
    • Information Systems and Management

    Cite this

    Suganuma, T., Miyamoto, T., Makishi, J., Kitagata, G., & Shiratori, N. (2007). Effective knowledge sharing based on symbiotic computing and its application to networked cooperative works. In Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007 (pp. 332-341). [4341907] https://doi.org/10.1109/COGINF.2007.4341907

    Effective knowledge sharing based on symbiotic computing and its application to networked cooperative works. / Suganuma, Takuo; Miyamoto, Toshimitsu; Makishi, Jun; Kitagata, Gen; Shiratori, Norio.

    Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007. 2007. p. 332-341 4341907.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Suganuma, T, Miyamoto, T, Makishi, J, Kitagata, G & Shiratori, N 2007, Effective knowledge sharing based on symbiotic computing and its application to networked cooperative works. in Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007., 4341907, pp. 332-341, 6th IEEE International Conference on Cognitive Informatics, ICCI 2007, Lake Tahoe, CA, 07/8/6. https://doi.org/10.1109/COGINF.2007.4341907
    Suganuma T, Miyamoto T, Makishi J, Kitagata G, Shiratori N. Effective knowledge sharing based on symbiotic computing and its application to networked cooperative works. In Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007. 2007. p. 332-341. 4341907 https://doi.org/10.1109/COGINF.2007.4341907
    Suganuma, Takuo ; Miyamoto, Toshimitsu ; Makishi, Jun ; Kitagata, Gen ; Shiratori, Norio. / Effective knowledge sharing based on symbiotic computing and its application to networked cooperative works. Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007. 2007. pp. 332-341
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