Virtual Agent Learning for NUI/NUX- Based
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초록

Natural User Interface (NUI) embodies the concept of direct interaction with computers using the human body instead of using existing (intermediary) input devices. Further, Natural User eXperience (NUX) incorporates the concept of more natural and intuitive feedback in accordance with the user's command. This paper proposes an approach that enables virtual agents to interact with users playing games on the basis of NUI. Users have a more immersive gaming experience as a result of the NUX-based interactive virtual agent and the use of NUIs in games. To enable the virtual agent to learn automatically via interaction, we generate a virtual human using imitation learning. Then we apply Q-learning to enable the virtual agent to learn in a short time. The results of two experimental scenarios confirm that our proposed method is sufficiently able to instruct a virtual agent to support a virtual human.

키워드

Natural user interfaceNatural user eXperienceVirtual agent learningROBOT
제목
Virtual Agent Learning for NUI/NUX- Based
저자
Jin, DaxingCho, SeoungjaeSung, YunsickCho, KyungeunUm, Kyhyun
DOI
10.1007/978-94-017-8798-7_70
발행일
2014
유형
Proceedings Paper
저널명
Lecture Notes in Electrical Engineering
301
페이지
597 ~ 604