脑机接口的可用性评估:现状分析

Yoselyn Nohemí Ortega-Gijón, Carmen Mezura-Godoy
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引用次数: 0

摘要

脑机接口(BCI)允许用户通过大脑信号可测量的认知功能与软件系统进行通信,被称为脑电图(EEG)。用户测试一直是BCI软件应用程序可用性评估中最常用的方法。在用户测试中,收集的数据来自用户通过问卷的意见,这些测试需要大量的时间,因为它不仅包括执行交互任务和问卷的应用,还包括放置和校准EEG设备。所有这些都使得评估过程对测试参与者来说是一项非常繁重的任务,并且可能意味着收集到的数据并不完全可靠。这就是为什么我们对在BCI软件应用程序的可用性评估过程中包括EEG信号感兴趣。因此,我们在本文中提出了对现状的分析结果,以确定该领域的相关工作和未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Usability Evaluation of Brain Computer Interfaces: Analysis of State of Art
Brain Computer Interfaces – BCI allow users to communicate with the software system through cognitive functions measurable by brain signals, identified as Electroencephalography – EEG. User tests have been the most used method for usability evaluation of BCI software applications. In user tests, the data collected comes from the opinions of users through questionnaires, these tests require a lot of time, since they include not only performing interaction task and the application of the questionnaires, but also include placing and calibrating the EEG device. All this makes the evaluation process a very heavy task for the participants of the test and can mean that the data collected is not entirely reliable. That is why we are interested in including EEG signals in the usability evaluation process of applications with BCI software applications. Therefore, we present in this paper the result of the analysis of state of art in order to identify the relevant works in the area and future lines of research.
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