A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.
A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.
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DOI：
10.1371/journal.pone.0176674
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Nam CS
中科院分区：
文献类型：
--
作者：
Choi I;Rhiu I;Lee Y;Yun MH;Nam CS
一种新的脑-机接口（BCI）技术，这被称为一个混合的BCI，最近被提出来解决传统的单一BCI系统的局限性。虽然一些混合BCI研究已经显示出有希望的结果，但混合BCI领域仍处于起步阶段，还有很多工作要做。特别地，由于混合BCI系统是如此复杂和复杂，因此很难一眼就理解混合BCI系统的组成和作用。此外，复杂和复杂的系统使得难以评估系统的可用性。本文系统地回顾和分析了当前混合脑机接口的研究现状，并提出了一种基于多分类标准的混合脑机接口分类方法。在回顾了74篇期刊文章后，混合BCI可以根据1）大脑信号的来源，2）大脑信号的特征，以及3）每个系统的操作特征进行分类。此外，我们详尽地回顾了最近的文献可用性的脑机接口。为了识别可用性的关键评估维度，我们专注于BCI可用性的任务和测量特征。我们根据任务特征（任务类型和描述）和测量特征（主观和客观测量）对31篇BCI可用性期刊文章进行了分类和总结。之后，我们提出了BCI和混合BCI系统的可用性维度，根据三个核心结构：满意度，有效性和效率，并建议进一步研究。本文可以帮助BCI研究人员，即使是那些新进入该领域的人，也可以轻松地了解混合系统的复杂结构。对未来研究的建议也有助于建立研究方向，并通过可用性评估了解如何解决BCI和混合BCI系统周围的人机工程学和HCI设计问题。
A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently been proposed to address the limitations of conventional single BCI system. Although some hybrid BCI studies have shown promising results, the field of hybrid BCI is still in its infancy and there is much to be done. Especially, since the hybrid BCI systems are so complicated and complex, it is difficult to understand the constituent and role of a hybrid BCI system at a glance. Also, the complicated and complex systems make it difficult to evaluate the usability of the systems. We systematically reviewed and analyzed the current state-of-the-art hybrid BCI studies, and proposed a systematic taxonomy for classifying the types of hybrid BCIs with multiple taxonomic criteria. After reviewing 74 journal articles, hybrid BCIs could be categorized with respect to 1) the source of brain signals, 2) the characteristics of the brain signal, and 3) the characteristics of operation in each system. In addition, we exhaustively reviewed recent literature on usability of BCIs. To identify the key evaluation dimensions of usability, we focused on task and measurement characteristics of BCI usability. We classified and summarized 31 BCI usability journal articles according to task characteristics (type and description of task) and measurement characteristics (subjective and objective measures). Afterwards, we proposed usability dimensions for BCI and hybrid BCI systems according to three core-constructs: Satisfaction, effectiveness, and efficiency with recommendations for further research. This paper can help BCI researchers, even those who are new to the field, can easily understand the complex structure of the hybrid systems at a glance. Recommendations for future research can also be helpful in establishing research directions and gaining insight in how to solve ergonomics and HCI design issues surrounding BCI and hybrid BCI systems by usability evaluation.