Human-Adaptive Robot Interaction Using Interactive EC with Human-Machine Hybrid Evaluation
Yuki Suga*, Tetsuya Ogata**, and Shigeki Sugano*
*Department of Creative Science and Engineering, School of Modern Mechanical Engineering, Waseda University, #59-325, 3-4-1 Okubo Shinjuku, Tokyo 169-8555, Japan
**Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan
Using interactive evolutionary computation (IEC), we created human-robot interaction system that maintains user interest over time. Although IEC enables users to design systems reflecting subjective preferences, it forces them to evaluate a large number of individuals. The refined IEC techniques, we propose in this regard, human-machine hybrid evaluation (HMHE), lets users manually evaluate only representative genes, after which HMHE automatically estimates the fitness of other genes, thereby increasing a population without increasing user evaluation process. Experimental results showed that preferences easily change in interaction. We confirmed that HMHE maintains high diversity, while maintaining user interest.
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