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対話型進化計算（IEC）の筆者らの取り組みのうち，高速化手法開発と新しい研究分野である人間科学への応用について紹介する．ユーザ疲労問題が実用上の問題になるIEC では各種ユーザ疲労軽減手法が提案され評価されており，早く解に辿り着く高速化手法はそのうちの１つの取り組みである．第1 に最近の筆者らの提案高速化手法をいくつか紹介する．第2 に，IEC 応用拡大とIEC ユーザ疲労軽減に続く第3 のIEC... 研究方向とも言うべき新しい研究方向，すなわち，IEC によって最適化された対象システムを解析することによって，IEC ユーザの心理学・生理学上の知見獲得のためにIEC を利用する研究，をいくつか紹介する．
We introduce two research directions of our recent interactive evolutionary computation (IEC) research; one is acceleration methods for IEC, and another is IEC applications for human science research. IEC user fatigue is a remained IEC problem especially from its practical use point of view, and many methods for reducing it have been proposed. Accelerating IEC for obtaining satisfactory solutions in fewer searching generations is one of them. Firstly, we introduce some our recent works on accelerating IEC. Secondly, we introduce new IEC research, which we may say that the third IEC research direction following expanding IEC applications and reducing IEC user fatigue. They aim to obtain unknown psychological/physiological knowledge of an IEC user by analyzing an optimized target system optimized by the user. We introduce such our research.show more
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