Learning implicit user interest hierarchy for context in personalization
Applied Intelligence
Teachable robots: Understanding human teaching behavior to build more effective robot learners
Artificial Intelligence
WOZ experiments for understanding mutual adaptation
AI & Society - Special Issue: Social intelligence design: a junction between engineering and social sciences
Improving accessibility with user-tailored interfaces
Applied Intelligence
Mutual adaptation among man and machine by using f-MRI analysis
Robotics and Autonomous Systems
Robust Singular Spectrum Transform
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Active adaptation in human-agent collaborative interaction
Journal of Intelligent Information Systems
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When an adaptive agent works with a human user in a collaborative task, in order to enable flexible instructions to be issued by ordinary people, it is believed that a mutual adaptation phenomenon can enable the agent to handle flexible mapping relations between the human user's instructions and the agent's actions. To elucidate the conditions required to induce the mutual adaptation phenomenon, we designed an appropriate experimental environment called "WAITER" (Waiter Agent Interactive Training Experimental Restaurant) and conducted two experiments in this environment. The experimental results suggest that the proposed conditions can induce the mutual adaptation phenomenon.