Reflective visualization of the agreement quality in mediation

Authors:
Yoshiharu Maeno;Katsumi Nitta;Yukio Ohsawa
Affiliations:
Social Design Group, Tokyo, Japan;Tokyo Institute of Technology, Yokohama-shi, Kanagawa, Japan;The University of Tokyo, Tokyo, Japan
Venue:
JSAI-isAI'09 Proceedings of the 2009 international conference on New frontiers in artificial intelligence
Year:
2009

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Abstract

Training for mediators is a complex issue. It is generally effective for trainees to reflect on their past thinking, speaking, and acting. We present a text processing method which aids mediation trainees in reflecting on how they reached an agreement from their dialogue. The method is an improved variant of the Data Crystallization algorithm, which visualizes the inter-topic associations which foreshadow the intentional or unintentional subsequent development of topics far apart in We demonstrate how the dialogues which differ in the agreement quality affects the topological characteristics of the associations.