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Using fNIRS Brain Sensing to Evaluate Information Visualization Interfaces

机译:使用fNIRS脑感知评估信息可视化界面

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We show how brain sensing can lend insight to the evaluation of visual interfaces and establish a role for fNIRS in visualization. Research suggests that the evaluation of visual design benefits by going beyond performance measures or questionnaires to measurements of the user's cognitive state. Unfortunately, objectively and unobtrusively monitoring the brain is difficult. While functional near-infrared spectroscopy (fNIRS) has emerged as a practical brain sensing technology in HCI, visual tasks often rely on the brain's quick, massively parallel visual system, which may be inaccessible to this measurement. It is unknown whether fNIRS can distinguish differences in cognitive state that derive from visual design alone. In this paper, we use the classic comparison of bar graphs and pie charts to test the viability of fNIRS for measuring the impact of a visual design on the brain. Our results demonstrate that we can indeed measure this impact, and furthermore measurements indicate that there are not universal differences in bar graphs and pie charts.
机译:我们展示了大脑感应如何能够为视觉界面的评估提供见识,并为fNIRS在可视化中发挥作用。研究表明,对视觉设计的评估不仅可以通过性能指标或问卷调查来衡量用户的认知状态,还可以从中受益。不幸的是,很难客观地监视大脑。尽管功能性近红外光谱(fNIRS)已成为人机交互中的一种实用的大脑传感技术,但视觉任务通常依赖于大脑快速,大规模并行的视觉系统,而该系统可能无法进行此测量。 fNIRS是否能够区分仅源自视觉设计的认知状态差异还不得而知。在本文中,我们使用条形图和饼图的经典比较来测试fNIRS的可行性,以测量视觉设计对大脑的影响。我们的结果表明,我们确实可以衡量这种影响,此外,测量结果表明,条形图和饼图中没有普遍的差异。

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