Abstract
In this paper, we propose the supporting method of the risk communications that use the collaborative learning. Using collaborative learning, participant of risk communication can acquire not only knowledge that participant is interested in, but also the intention and knowledge of other party who do not concern the participant’s concern. In the process of collaborative learning, participants of risk communication get the mutual understanding about risks. The feature of this method is to use the “Externalization” form that use concept map and the construction drawing of the opinion understanding made from Fishbone
Chapter PDF
Similar content being viewed by others
References
Sasaki, R., Hidaka, Y., Moriya, T., Taniyama, M., Yajima, H., Yaegasi, K., Yoshiura, Y.: Development and application of the multiple risk communicator’s. Journal of Information Processing of Japan 49(9), 3180–3190 (2008)
Watanabe, T., Yamamoto, H., Yajima, H., Sasaki, R.: Evaluation of participant information acquisition support method in multiple risk communicator. IEEJ Trans. EIS 128(2), 310–317 (2008)
Matsumoto, S., Hiroshi, Y., Sasaki, R.: Proposal of smooth risk communications support method in multiple risk communicator. In: Symposium on Cryptography and Information Security, SCIS 2006 (2006)
Miyake, N.: Cooperated study and AI. Journal of the Japan Society of Artificial Intelligence 23(2), 174–183 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Yajima, H., Tanabe, N., Sasaki, R. (2014). Proposal of Collaborative Learning Support Method in Risk Communications. In: Kurosu, M. (eds) Human-Computer Interaction. Theories, Methods, and Tools. HCI 2014. Lecture Notes in Computer Science, vol 8510. Springer, Cham. https://doi.org/10.1007/978-3-319-07233-3_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-07233-3_42
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07232-6
Online ISBN: 978-3-319-07233-3
eBook Packages: Computer ScienceComputer Science (R0)