通过大脑使用脑电脑接口分析和计算人类 - 了解用户 - 之前的证据,自我相关性和用户的自我概念作为潜在的超级人类相关因素
1Department of Applied Emotion and Motivation Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Frontiers in human neuroscience
|March 4, 2024
概括
自我相关性和自我概念等人类因素显著影响脑电脑界面 (BCI) 的表现. 了解这些因素可以提高电脑电图 (EEG) 应用的BCI准确性和用户体验.
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) 将脑电图 (EEG) 信号转化为计算机命令,用于辅助通信.
- 用户之间BCI表现的变化表明人类因素的影响.
- 之前的研究探讨了用户特征,如动机,认知和信任,但需要一个超级框架.
研究的目的:
- 为了确定影响大脑-计算机接口 (BCI) 性能的超级人类因素.
- 调查自我相关性和自我概念在BCI互动中的作用.
- 探索这些因素如何影响BCI表现,隐式,显式和跨个体.
主要方法:
- 对EEG-BCI使用者的动机,情感,认知和人格因素的先前研究的综述.
- 对P300-BCI和SMR-BCI进行可比性协议的分析.
- 开发概念框架,重点关注自我相关性和自我概念.
主要成果:
- 任务/刺激的自我相关性和用户的自我概念被提出为BCI的关键人类因素.
- 这些因素调节信息处理,动机,注意力和代理/自治的感觉.
- 自我相关性和自我概念的变化会影响相关大脑网络中的神经生理活动.
结论:
- 自我相关性和自我概念为增强BCI应用提供了巨大的潜力.
- 将这些因素纳入BCI范式,指令和培训可以提高用户性能.
- 未来的研究应该专注于集成自我相关性和自我概念,以优化BCI系统.
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