Linked and Coordinated Visual Analysis of Eye Movement Data

Michael Burch, Günter Wallner, Veerle Fürst, Teodor-Cristian Lungu, Daan Boelhouwers, Dhiksha Rajasekaran, Richard Farla, Sander van Heesch
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Abstract

Eye movement data can be used for a variety of research in marketing, advertisement, and other design-related industries to gain interesting insights into customer preferences. However, interpreting such data can be a challenging task due to its spatio-temporal complexity. In this paper we describe a web-based tool that has been developed to provide various visualizations for interpreting eye movement data of static stimuli. The tool provides several techniques to visualize and analyze eye movement data. These visualizations are interactive and linked in a coordinated way to help gain more insights. Overall, this paper illustrates the features and functionality offered by the tool by using data recorded from transport map readers in a previously conducted experiment as use case. Furthermore, the paper discusses limitations of the tool and possible future developments.
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眼动数据的关联和协调视觉分析
眼动数据可以用于市场营销、广告和其他设计相关行业的各种研究,以获得有关客户偏好的有趣见解。然而,由于其时空复杂性,解释这些数据可能是一项具有挑战性的任务。在本文中,我们描述了一个基于网络的工具,该工具已经开发出来,可以为解释静态刺激的眼球运动数据提供各种可视化。该工具提供了几种可视化和分析眼动数据的技术。这些可视化是交互式的,以协调的方式链接在一起,以帮助获得更多的见解。总的来说,本文通过使用在先前进行的实验中从运输地图阅读器中记录的数据作为用例来说明该工具提供的特性和功能。此外,本文还讨论了该工具的局限性和可能的未来发展。
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