认知实验室:用于认知过程调查的生物信号和HCI特征的数据集
Inês Silveira1, Rui Varandas2, Hugo Gamboa3
1LIBPhys, NOVA School of Science and Technology, Largo da Torre, 2829-516, Caparica, Portugal.
Computer methods and programs in biomedicine
|June 11, 2025
概括
认知实验室数据集捕获多式联络数据,以分类学习期间的注意力,认知工作量和情绪状态. 该资源通过实时认知状态评估来推进自适应性学习系统.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 神经科学是一个神经科学.
背景情况:
- 诸如注意力,工作量和情绪等认知状态会影响学习和人机交互.
- 目前的评估方法缺乏适应性学习环境所需的多式联络数据.
研究的目的:
- 介绍认知实验室,用于研究学习中的认知过程的多模式数据集.
- 在交互式课程中使注意力,认知工作量,疲劳和情绪状态的分类成为可能.
主要方法:
- 在三个实验场景中收集了多式联络数据 (生物信号和HCI特征).
- 使用了N-Back,心智减法,Corsi块点击,集中精力和交互式课程.
- 应用机器学习模型用于用交叉验证对认知状态进行分类.
主要成果:
- 使用鼠标跟踪数据,在区分学习状态方面达到高达87%的准确性.
- 成功地使用生物信号 (fNIRS,EEG,ECG) 和HCI数据对注意力,工作量和疲劳进行了分类.
- 观察到的参与者变异性表明了对特定主体校准的潜力.
结论:
- 认知实验室数据集是现实世界认知研究的宝贵资源.
- 能够对认知状态进行分类,支持自适应性学习,认知神经科学和BCI发展.
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