Case based online training support system for ADR mediator

Takahiro Tanaka, Yoshiaki Yasumura, Daisuke Katagami, Katsumi Nitta

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

3 Citations (Scopus)

Abstract

This paper describes an overview of an online training support system for ADR mediators. To educate good mediators, much training is necessary, which is not easy for supervisors. As supervisors have to take care of many students, they cannot spare much time for a specific student. To train students effectively, some support system is needed.This system provides an environment for online disputation. Using this system, the supervisor and students can participate in the mediation process even if they are outside of the University. Furthermore, this system stores many disputation records in the form of XML documents as a case base, and this case base is used to navigate the mediation process. During the disputation, users can retrieve old similar scenes of disputation, and they can construct proper arguments by referring to similar scenes. Furthermore, by comparing records of disputation or by analyzing them statistically, we can get the information that help to evaluate the mediation skill.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Artificial Intelligence and Law
Pages234-235
Number of pages2
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event10th International Conference on Artificial Intelligence and Law, ICAIL 2005 - Bologna
Duration: 2005 Jun 62005 Jun 11

Other

Other10th International Conference on Artificial Intelligence and Law, ICAIL 2005
CityBologna
Period05/6/605/6/11

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Keywords

  • ADR
  • Case base
  • E-learning
  • Online disputation

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Law

Cite this

Tanaka, T., Yasumura, Y., Katagami, D., & Nitta, K. (2005). Case based online training support system for ADR mediator. In Proceedings of the International Conference on Artificial Intelligence and Law (pp. 234-235) https://doi.org/10.1145/1165485.1165525