Behavior Generation and Evaluation of Negotiation Agent Based on Negotiation Dialogue Instances-Reference-Cited by-同舟云学术

Behavior Generation and Evaluation of Negotiation Agent Based on Negotiation Dialogue Instances

Published:2010-11-20 Issue:7 Volume:14 Page:840-851
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Katagami Daisuke, ,Ikeda Yusuke,Nitta Katsumi,

Abstract

This study focuses on gestures negotiation dialogs. Analyzing the situation/gesture relationship, we suggest how to enable agents to conduct adequate human-like gestures and evaluated whether an agent’s gestures could give an impression similar to those by a human being. We collected negotiation dialogs to study common human gestures. We studied gesture frequency in different situations and extracted gestures with high frequency, making an agent gesture module based on the number of characteristics. Using a questionnaire, we evaluated the impressions of gestures by human users and agents, confirming that the agent expresses the same state of mind as the human being by generating an adequately human-like gesture.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference27 articles.

1. R. Fisher and D. Shapiro, “Beyond Reason: Using Emotions as You Negotiate,” Penguin, 2006.

2. T. Tanaka, Y. Yasumura, D. Katagami, and K. Nitta, “Case Based Online Training Support System for ADR Mediator,” ICAIL2005 workshop Artificial Intelligence and Legal Education, pp. 22-27, 2005.

3. T. Tanaka, D. Katagami, and K. Nitta, “Advice Agent for Online Mediator Education,” AAMAS-06 workshop Int. Workshop on Agent-Based Systems for Human Learning (ABSHL), pp. 43-48, 2006.

4. T. Tanaka, N. Maeda, D. Katagami, and K. Nitta, “Case Based Utterance Generating for An Argument Agent,” The fifth workshop on Knowledge and Reasoning in Practical Dialogue Systems (in Conjunction with IJCAI 2007), pp. 38-41, 2007.

5. T. Tanaka, N. Maeda, D. Katagami, and N. Nitta, “Characterized Argument Agent for Training Partner,” New Frontiers in Artificial Intelligence: JSAI 2007 Conf. and Workshops Revised Selected Papers, Lecture Notes on Artificial Intelligence, Vol.4914, pp. 377-389, Springer, 2008.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Greeting Gesture Classification Using Machine Learning Based on Politeness Perspective in Japan;Journal of Advanced Computational Intelligence and Intelligent Informatics;2024-03-20