支持脑电图自我反馈的协同虚拟环境的开发与评价

Akihiro Miyata, Shota Yamamoto, Masaki Hayashi, Takefumi Hayashi, H. Shigeno, Ken-ichi Okada
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引用次数: 2

摘要

目前,在协作虚拟环境中有很多相互通信的场合。然而,在这样的虚拟环境中,要保持参与交流的高动机比在面对面的环境中更难。人们认为原因是1)很难理解自己的动机是什么,2)由于固定的观点,表达很无聊。为了解决这一问题,我们采用前后向模型将脑电图信息显示到虚拟空间中——放大/缩小整个虚拟空间。实验结果表明,我们的系统成功地为人们提供了一个保持参与交流的高动机的环境。
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Development and Evaluation of a Collaborative Virtual Environment Supporting Self Feedbacks of Electroencephalogram
Currently, there are many occasions to communicate with each other in the collaborative virtual environment. However, it is more difficult to keep high-motivation for participating in communication in such virtual environment than in face-to-face environment. It is considered that the reasons are 1) the difficulty of understanding how their own motivations are and 2) the boring expression due to the fixed view point. To address this issue, we display electroencephalogram information to a virtual space by forward-backward model - zoom in/out of whole virtual space. According to the results of experiment, our system successfully provides an environment in which people can keep high-motivations for participating in communication.
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