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 book chapter provides an overview of how eye tracking can be used in a variety of study designs. Further, we discuss the potential merits of cognitive models for the evaluation of visualizations. We exemplify these concepts on two scenarios, each focusing on a different eye tracking study. Lastly, we identify several call for actions.
翻译:硬件和软件的技术进步使我们能够记录日常情况和长时期的目视数据。在众多的研究机会中,这一技术使可视化研究人员能够从业绩计量以及使用可视化技术的人的感知和认知过程中看到一瞥。为可视化研究进行的大部分目视跟踪研究限于对目视分布和汇总统计数据的分析,因此仅涵盖从视觉数据得出的一小部分洞察力。我们认为,纳入心理学和认知科学的理论和方法将有助于设计和评估目视跟踪实验的可视化。这本书的章节概述了在各种研究设计中如何利用眼视跟踪。此外,我们讨论了可视化评估认知模型的潜在优点。我们将这些概念以两种情景为例,每个情景都侧重于不同的目视跟踪研究。最后,我们提出若干行动呼吁。