期刊文献+

基于认知神经科学的人机交互发展研究 被引量:1

Research on the Development of Human-Computer Interaction based on Cognitive Neuroscience
原文传递
导出
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)
出处 《艺术与设计(理论版)》 2022年第2期87-89,共3页 Art and Design
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
  • 相关文献

参考文献2

二级参考文献17

  • 1王坚 董士海 等.基于自然交互方式的多通道用户界面模型[J].计算机学报,1996,19:130-134.
  • 2覃京燕,计汇文.基于TUI的产品自然交互界面设计方法研究[C]//第5届全国人机交互学术会议.西安:清华大学出版社,2009:283-287.
  • 3Field M, Fredriksson J, Ejdestig M, et al. Tangible user interface or chemistry education Comparative e- valuation and re-design [C]//Proceedings of the SIG- CHI Conference on Human Factors in Computing Sys- tems. New York, USA: ACM,2007: 805-808.
  • 4Ullmer B, Ishii H. The meta DESK: models and proto- types for tangible user interfaces [C]//Proceedings of the 10th annual ACM symposium on User interface software and technology. New York, USA: ACM, 1997 : 223-232.
  • 5Anabuki M, Ishi H. AR-Jig: a handheld tangible user interface for modification of 3D digital form via 2D physical curve [C]// 6th IEEE and ACM International Symposium on Mixed and Augmented Reality. Nara, Japan: ACM, 2007: 55-66.
  • 6Alseid M, Riqas D. Utilising Multimodal interaction metaphors in e-learning applications: an experimental study [C]//International Conference on Advanced In- formation Networking and Applications. Bradford, UK: Elsevier, 2009: 945-950.
  • 7徐宝国,何乐生,宋爱国.基于脑电信号的人机交互实验平台的设计和应用[J].电子测量与仪器学报,2008,22(1):81-85. 被引量:14
  • 8邓胜利,张敏.基于用户体验的交互式信息服务模型构建[J].中国图书馆学报,2009,35(1):65-70. 被引量:66
  • 9李金波,许百华.人机交互过程中认知负荷的综合测评方法[J].心理学报,2009,41(1):35-43. 被引量:48
  • 10刘勋,吴艳红,李兴珊,蒋毅,周雯,方方.认知心理学:理解脑、心智和行为的基石[J].中国科学院院刊,2011,26(6):620-629. 被引量:16

共引文献13

同被引文献4

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部