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JACIII Vol.14 No.7 pp. 831-839
doi: 10.20965/jaciii.2010.p0831
(2010)

Paper:

Toward Strategic Human Skill Development Through Human and Agent Interaction: Improving Negotiation Skill by Interacting with Bargaining Agent

Atsushi Otaki, Kiyohiko Hattori, and Keiki Takadama

The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan

Received:
April 16, 2010
Accepted:
July 16, 2010
Published:
November 20, 2010
Keywords:
human skill development, agent, interaction bargaining game, e-learning
Abstract

This paper focuses on developing human skills through interaction between a human player and a computer agent, and explores its strategic method through experiments on the bargaining games where human players negotiate with computer agents. Specifically, human players negotiate with three types of agents: (a) strong/weak attitude agents making aggressive/defensive proposals in advantageous/disadvantageous situations; (b) fair agents making fair proposals; and (c) the “human-like” agents making mutually agreeable proposals as the number of games increases. Analysis of the human subject experiments has revealed the three major implications: (1) human players negotiating with the strong/weak attitude agents obtain the largest profit overall; (2) human players negotiating with “human-like” agents win many games; and (3) no relationship exists between profit maximization and a win of the games.

Cite this article as:
Atsushi Otaki, Kiyohiko Hattori, and Keiki Takadama, “Toward Strategic Human Skill Development Through Human and Agent Interaction: Improving Negotiation Skill by Interacting with Bargaining Agent,” J. Adv. Comput. Intell. Intell. Inform., Vol.14, No.7, pp. 831-839, 2010.
Data files:
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