论文标题

我们看到的以及从可视化中获得的东西:超越目光分布和扫描的眼睛跟踪

What We See and What We Get from Visualization: Eye Tracking Beyond Gaze Distributions and Scanpaths

论文作者

Kurzhals, Kuno, Burch, Michael, Weiskopf, Daniel

论文摘要

硬件和软件方面的技术进度使我们能够在日常情况和长期跨度中记录凝视数据。在众多研究机会中,该技术使可视化研究人员能够瞥见绩效指标,并使用可视化技术的人的感知和认知过程。进行可视化研究的大多数眼动追踪研究仅限于凝视分布和汇总统计数据的分析,因此仅涵盖了一小部分可以从凝视数据中得出的见解。我们认为,从心理学和认知科学中纳入理论和方法将使眼睛跟踪实验的设计和评估有益于可视化。该立场论文概述了我们在可视化中进行眼动追踪的经验,并指出了跨学科研究领域的可视化心理学可能带来的好处,以便更好地理解人们如何解释可视化。

Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind performance measures and into the perceptual and cognitive processes of people using visualization techniques. The majority of eye tracking studies performed for visualization research is limited to the analysis of gaze distributions and aggregated statistics, thus only covering a small portion of insights that can be derived from gaze data. We argue that incorporating theories and methodology from psychology and cognitive science will benefit the design and evaluation of eye tracking experiments for visualization. This position paper outlines our experiences with eye tracking in visualization and states the benefits that an interdisciplinary research field on visualization psychology might bring for better understanding how people interpret visualizations.

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