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arXiv 1601.02768cs.HC
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基于脑电的用户体验评价框架

Framework for Electroencephalography-based Evaluation of User Experience

Jérémy Frey, Maxime Daniel, Julien Castet, Martin Hachet, Fabien Lotte

摘要:

用脑电图(EEG)测量大脑活动已经足够成熟,可以评估精神状态。结合现有的方法,这样的工具可以用于加强对用户体验的理解。我们提供了一套方法来连续估计用户的心理负荷,注意力和识别的交互错误在不同的交互任务。我们验证这些措施的控制虚拟环境,并显示它们如何可以用来比较不同的交互技术或设备,通过比较这里的键盘和触摸界面。由于这样一个框架,EEG成为一个有前途的方法,以提高复杂的计算机系统的整体可用性。

英文摘要:

Measuring brain activity with electroencephalography (EEG) is mature enough to assess mental states. Combined with existing methods, such tool can be used to strengthen the understanding of user experience. We contribute a set of methods to estimate continuously the user's mental workload, attention and recognition of interaction errors during different interaction tasks. We validate these measures on a controlled virtual environment and show how they can be used to compare different interaction techniques or devices, by comparing here a keyboard and a touch-based interface. Thanks to such a framework, EEG becomes a promising method to improve the overall usability of complex computer systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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