Actively Adaptive Agent for Human-Agent Collaborative Task

Active interface is one of critical characteristics of agents who have to interact with human users to achieve human-agent collaboration. This characteristic is especially important in beginning phase of human-agent interaction when an ordinary human user begins to interact with an adaptive autonomous agent. In order to investigate principal characteristics of an active interface, we developed a human-agent collaborative experimental environment named WAITER. Two types of experiment: WOZ agent experiment and autonomous agent experiment were conducted. Objective of the experiment is to observe how human users change their instructions when interacting with adaptive agents with different degree of freedom. Experimental results indicate that participants can recognize changes of agent's actions and change their instruction methods accordingly. It infers that changes of instruction method depend not only on waiter agent's reactions, but also on human manager's cognitive models of the agent.

[1]  Andrea Lockerd Thomaz,et al.  Teachable robots: Understanding human teaching behavior to build more effective robot learners , 2008, Artif. Intell..

[2]  Yong Xu,et al.  WOZ experiments for understanding mutual adaptation , 2007, AI & SOCIETY.

[3]  P. Maes Modeling adaptive autonomous agents , 1993 .

[4]  Nobuyuki Yamasaki,et al.  Active interface for human-robot interaction , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[5]  Henry Lieberman,et al.  Autonomous interface agents , 1997, CHI.

[6]  Pierre-Yves Oudeyer,et al.  Robotic clicker training , 2002, Robotics Auton. Syst..

[7]  Michael Wooldridge,et al.  Reasoning about rational agents , 2000, Intelligent robots and autonomous agents.

[8]  Yong Xu,et al.  A Platform System for Developing a Collaborative Mutually Adaptive Agent , 2009, IEA/AIE.