现代教育技术2026，Vol.36Issue(5)：119-127,9.DOI:10.3969/j.issn.1009-8097.2026.05.0012
空间任务中基于被动式脑机接口的困惑情绪识别研究
Research on Confusion Emotion Recognition based on Passive Brain-Computer Interface in Spatial Tasks
摘要
Abstract
Confusion is a key manifestation of cognitive disequilibrium,and moderate confusion facilitates deep learning.Accordingly,recognizing confusion has become a core issue in learning emotion perception.Focusing on confusion recognition in spatial tasks,this paper proposed a confusion emotion recognition framework.On this basis,a passive brain-computer interface system based on electroencephalography(EEG)and its evaluation model were constructed,and the model accuracy was validated at both intra-subject and cross-subject levels.Traditional algorithms,including Naive Bayes,Support Vector Machine,and Random Forest,together with end-to-end approaches such as CNN and EEGNet,were employed to identify confusion states.Results showed that end-to-end approaches outperformed traditional ones in both binary and four-class classification tasks,while Random Forest achieved competitive performance close to end-to-end methods.Moreover,this paper further analyzed regional brain differences between confused and non-confused states,and found significant differences in the power spectral density of the frontal lobe,temporal lobe,parietal lobe and occipital lobe.This study established an experimental framework and performance baselines for EEG-based confusion recognition,and offered preliminary evidence for understanding brain regional differences associated with confusion in spatial tasks.It was expected to advance the intelligent recognition of learning confusion and provide references for subsequent educational affective computing applications.关键词
教育情感计算/脑机接口/认知失衡/困惑情绪/空间任务Key words
educational affective computing/brain-computer interface/cognitive disequilibrium/confusion emotion/spatial tasks分类
社会科学引用本文复制引用
周筠,张慧,伊浩圆,徐韬,张文兰..空间任务中基于被动式脑机接口的困惑情绪识别研究[J].现代教育技术,2026,36(5):119-127,9.基金项目
本文为2020年度国家自然科学基金面上项目"智能教学系统中基于脑机接口的困惑情绪识别与双向调节策略研究"(项目编号:62077036)、2023年度国家自然科学基金面上项目"基于多模态数据三元表示的学习状态建模和识别研究"(项目编号:62377039)的阶段性研究成果. （项目编号:62077036）
