摘要
文章针对认知神经科学与人机交互的融合情况,提出脑机交互领域的主要发展方向。通过文献调研法获取国内外脑机交互研究动态,基于认知神经科学与人机交互的融合程度,梳理脑机系统研究方向为基于认知神经科学评估的机器迭代改良设计、基于认知神经科学的人的认知和情感神经机制探索与模型构建以及认知神经与机器的单/双向脑机交互,最后,从拓宽交互通道、提高人机交互系统可靠性和提升交互体验三个递进的层次,总结未来脑机交互主要发展方向。认知神经科学与人机交互的深度融合、双向促进,在克服场景挖掘、算法优化和模型泛化等一系列难题后,会迎来下一代自然人机交互与人工智能时代。
To review the development of the integration of cognitive neuroscience and human-computer interaction,and put forward the main direction of the development of brain-computer interaction in the future.The research status and application of human-computer interaction based on cognitive neuroscience were reviewed by desktop analysis and literature survey,combined with the new research trends of brain-computer interaction according to domestic and foreign development.According to the degree of fusion of cognitive neuroscience and human-computer interaction,the research directions of brain-machine system were summarized as iterative improved machine design based on cognitive neuroscience evaluation,exploration and model building of cognitive and affective mechanisms based on cognitive neuroscience,and single/two-way brain-machine interaction between cognitive nerve and machine.Summarizes the main development direction of brain-computer interaction field in the future from three progressive levels:broadening the interaction channel,improving the reliability of human-computer interaction system and improving the interaction experience.The deep integration and two-way promotion of cognitive neuroscience and human-computer interaction will usher in the era of brain-computer interaction and the next generation of artificial intelligence after overcoming a series of problems such as scene mining,algorithm optimization and model generalization.
作者
苗秀
侯文军
边坤
Miao Xiu;Hou Wenjun;Bian Kun(School of Automatic,Beijing University of Posts and Telecommunications,Beijing 100083,China;School of Arst and Design,Inner Mongolia University of Science and Technology,Baotou 014010,China)
基金
内蒙古自治区教育厅项目,项目编号:ZSZX21098。
关键词
认知神经科学
人机交互
EEG
脑机接口
cognitive neuroscience
human-computer interaction
EEG
brain-computer interface