同时进行的对话对基于事件相关电位的脑机接口的分心影响。

Minju Kim, Sung-Phil Kim
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引用次数: 0

摘要

研究目的本研究调查了交谈对基于视觉事件相关电位(ERP)的脑机接口(BCI)性能的影响,同时考虑了现实生活环境中的分心因素。研究旨在了解说话和聆听活动的认知分心如何影响 ERP-BCI 的性能:实验采用了双任务范式,参与者在使用视觉ERP-BCI控制智能灯的同时进行说话或倾听任务:研究结果表明,说话会明显降低BCI的准确性和ERP成分的振幅,同时增加ERP成分的延迟变异性和枕骨α功率。相比之下,听力和简单音节重复任务对这些变量的影响较小。结果表明,说话活动会极大地分散对 BCI 操作至关重要的视觉注意过程。本研究强调了在设计和实施 ERP-BCI 时考虑到日常对话干扰的必要性。
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Distraction impact of concurrent conversation on event-related potential based brain-computer interfaces.

Objective.This study investigates the impact of conversation on the performance of visual event-related potential (ERP)-based brain-computer interfaces (BCIs), considering distractions in real life environment. The research aims to understand how cognitive distractions from speaking and listening activities affect ERP-BCI performance.Approach.The experiment employs a dual-task paradigm where participants control a smart light using visual ERP-BCIs while simultaneously conducting speaking or listening tasks.Main results.The findings reveal that speaking notably degrades BCI accuracy and the amplitude of ERP components, while increases the latency variability of ERP components and occipital alpha power. In contrast, listening and simple syllable repetition tasks have a lesser impact on these variables. The results suggest that speaking activity significantly distracts visual attentional processes critical for BCI operationSignificance. This study highlights the need to take distractions by daily conversation into account of the design and implementation of ERP-BCIs.

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