Burch Michael, Chuang Lewis L, Duchowski Andrew, Weiskopf Daniel, Groner Rudolf
Visualization Research Center, University of Stuttgart, Germany.
J Eye Mov Res. 2018 May 25;10(5). doi: 10.16910/jemr.10.5.1.
There is a growing interest in eye tracking technologies applied to support traditional visualization techniques like diagrams, charts, maps, or plots, either static, animated, or interactive ones. More complex data analyses are required to derive knowledge and meaning from the data. Eye tracking systems serve that purpose in combination with biological and computer vision, cognition, perception, visualization, human-computer-interaction, as well as usability and user experience research. The 10 articles collected in this thematic special issue provide interesting examples how sophisticated methods of data analysis and representation enable researchers to discover and describe fundamental spatio-temporal regularities in the data. The human visual system, supported by appropriate visualization tools, enables the human operator to solve complex tasks, like understanding and interpreting three-dimensional medical images, controlling air traffic by radar displays, supporting instrument flight tasks, or interacting with virtual realities. The development and application of new visualization techniques is of major importance for future technological progress.
人们越来越关注将眼动追踪技术应用于支持传统可视化技术，如图表、地图或绘图，无论是静态、动画还是交互式的。需要更复杂的数据分析才能从数据中获取知识和意义。眼动追踪系统与生物和计算机视觉、认知、感知、可视化、人机交互以及可用性和用户体验研究相结合，可实现这一目的。本期专题收集的10篇文章提供了有趣的例子，展示了复杂的数据分析和表示方法如何使研究人员能够发现和描述数据中基本的时空规律。在适当的可视化工具支持下，人类视觉系统使操作人员能够解决复杂任务，如理解和解释三维医学图像、通过雷达显示器控制空中交通、支持仪表飞行任务或与虚拟现实进行交互。新可视化技术的开发和应用对未来的技术进步至关重要。
