同时对话对与事件相关的潜在基于脑计算机接口的分心影响
1Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Journal of neural engineering
|August 23, 2024
概括
在脑电脑界面 (BCI) 使用期间说话通过破坏视觉注意力显著损害了性能. 这项研究强调了在BCI设计中对对话分心的考虑,用于现实世界的应用.
科学领域:
- 神经科学是一个神经科学.
- 人与计算机的交互
- 生物医学工程 生物医学工程
背景情况:
- 大脑-计算机接口 (BCI) 提供了新的交互方法.
- 基于视觉事件相关潜力 (ERP) 的BCI容易受到认知负载和分心的影响.
- 现实世界的环境带来了许多分心,例如对话.
研究的目的:
- 调查对话活动 (说话和听话) 对基于ERP的视觉BCI性能的影响.
- 量化语音认知分心如何影响关键BCI绩效指标.
- 了解在对话期间BCI性能退化背后的神经机制.
主要方法:
- 采用了双任务模式,将ERP-BCI智能灯的视觉控制与同时说话或听话的任务相结合.
- 参与者在受控的实验条件下执行任务.
- 测量了关键性能指标,如BCI准确性,ERP组件振幅和延迟,以及神经活动 (尾α功率).
主要成果:
- 说话显著降低了BCI准确度和ERP组件幅度.
- 说话增加了ERP延迟变异性和尾α功率,表明注意力中断.
- 听力和简单的音节重复任务对BCI表现的影响相对较小.
结论:
- 对话性语言对基于ERP的视觉BCI的性能构成重大挑战.
- 说话会破坏有效的BCI操作所必需的视觉注意力过程.
- 未来的ERP-BCI系统需要强大的设计,可以减轻或适应日常使用中的对话分心.
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