基于人机具身交互的听力学习神经回路设计  

Design of Neural Circuit for Listening Learning Based on Human-machine Interaction

作　　者：刘长勇 孟世敏[2] LIU Chang-yong;MENG Shi-min(Department of Mathematics and Computer Science,Wuyi University,Wuyishan 354300,China;Oriental Potential Brain Cognitive Structure Imaging Laboratory,Wuyishan 354300,China;Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions,Wuyishan 354300,China)

机构地区：[1]武夷学院数学与计算机学院,福建武夷山354300 [2]东方潜能脑认知结构成像实验室,福建武夷山354300 [3]武夷学院认知计算与智能信息处理重点实验室,福建武夷山354300

出　　处：《长春师范大学学报》2020年第10期49-53,共5页Journal of Changchun Normal University

基　　金：福建省自然科学基金科技项目“基于问题空间的认知关联挖掘与分析”(2017J01651)。

摘　　要：深度学习网络极大推动机器学习能力的提升,社会迎来人工智能全新时代。在机器智能快速进化的同时,应探索人类智能快速发展提升的理论和技术,提高人类认知学习效率。本文基于智能笔新型人机交互模式,融合具身认知理论,提出创意英语听力人机具身交互训练模式。实验证明,人机具身交互训练回路快速推进英语听力神经回路的建构,高效推动学生英语听音写字能力的发展。人机具身交互神经回路是信息技术、人工智能、认知科技的深度融合,能够探索新一代认知学习技术的实践。Deep learning networks have greatly promoted the improvement of machine learning capabilities,and society has ushered in a new era of artificial intelligence.While machine intelligence is rapidly evolving,we should explore theories and technologies for the rapid development and improvement of human intelligence to improve human cognitive learning efficiency.Based on the new human-computer interaction mode of smart pen,combined with the body cognitive theory,this paper proposes a creative English listening human-machine interaction training mode.Experiments have proved that the interactive training circuit of human-machine equipment quickly promotes the construction of neural circuits for English listening,and effectively promotes the development of students listening and writing skills in English.Human-machine interaction neural circuit is a deep integration of information technology,artificial intelligence and cognitive technology,and explores the practice of new-generation cognitive learning technology.

关 键 词：人机具身交互 听力学习 神经回路 智能笔 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]