Concern Alignment Analysis of Mutual Trust Formation in Dialogue and its Application to Communication Support

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H02752
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Future University-Hakodate
• Principal Investigator: KATAGIRI Yasuhiro 公立はこだて未来大学, システム情報科学部, 学長 (60374097)
• Co-Investigator(Kenkyū-buntansha): 榎本 美香 東京工科大学, メディア学部, 講師 (10454141) ; 石崎 雅人 東京大学, 大学院情報学環・学際情報学府, 教授 (30303340) ; 角 康之 公立はこだて未来大学, システム情報科学部, 教授 (30362578) ; 高梨 克也 京都大学, 情報学研究科, 研究員 (30423049) ; 傳 康晴 千葉大学, 大学院人文科学研究院, 教授 (70291458)
• Co-Investigator(Renkei-kenkyūsha): OKADA SYOGO 北陸先端科学技術大学院大学, 先端科学技術研究科, 准教授 (00512261)
• Research Collaborator: NAMBU MISAKO 公立はこだて未来大学, システム情報科学部, 准教授 (10404807)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 自然言語処理 / 会話処理 / 相互信頼感 / 共関心分析

Outline of Final Research Achievements

This research was aimed at establishing an analytical framework and a computational model of the conversational processes in consensus building and mutual trust formation and its maintenance. Conversational practices in real-life fields, including medical communication, business communication, and community-building dialogues, were analyzed in terms of the notion of 'concern alignment' we have proposed. It was demonstrated that the concern alignment model of conversation provides a useful framework to describe strategic interactions for consensus building as well as underlying value sharing for trust formation by capturing macro-level discourse structures manifesting and supporting the processes. integration and comparison were also attempted, in order to develop a communication support technology based on the descriptive theory of concern alignment, with standard theories of shared intentional of social agents.

Free Research Field

知能情報学