TraVIS: A User Trace Analyzer to Support User-Centered Design of Visual Analytics Solutions.

Matteo Filosa, Alexandra Plexousaki, Matteo Di Stadio, Francesco Bovi, Dario Benvenuti, Tiziana Catarci, Marco Angelini
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Abstract

Visual Analytics (VA) has become a paramount discipline in supporting data analysis in many scientific domains, empowering the human user with automatic capabilities while keeping the lead in the analysis. At the same time, designing an effective VA solution is not a simple task, requiring its adaptation to the problem at hand and the intended user of the system. In this scenario, the User-Centered Design (UCD) methodology provides the framework to incorporate user needs into the design of a VA solution. On the other hand, its implementation mainly relies on qualitative feedback, with the designer missing tools supporting her in quantitatively reporting the user feedback and using it to hypothesize and test the successive changes to the VA solution. To overcome this limitation, we propose TraVIS, a Visual Analytics solution allowing the loading of a web-based VA system, collecting user traces, and analyzing them with respect to the system at hand. In this process, the designer can leverage the collected traces and relate them to the tasks the VA solution supports and how those can be achieved. Using TraVIS, the designer can identify ineffective interaction paths, analyze the user traces support to task completion, hypothesize corrections to the design, and evaluate the effect of changes. We evaluated TraVIS through experimentation with 11 VA systems from literature, a use case, and user evaluation with five experts. Results show the benefits that TraVIS provides in terms of identifying design problems and efficient support for UCD. TraVIS is available at: https://github.com/XAIber-lab/TraVIS.

TraVIS:一个支持以用户为中心的可视化分析解决方案设计的用户跟踪分析器。
可视化分析(VA)已经成为许多科学领域中支持数据分析的重要学科,赋予人类用户自动功能,同时保持分析的领先地位。同时,设计一个有效的VA解决方案并不是一项简单的任务,它需要适应手头的问题和系统的预期用户。在这种情况下,以用户为中心的设计(UCD)方法提供了将用户需求合并到VA解决方案设计中的框架。另一方面,它的实现主要依赖于定性反馈,设计师缺乏工具来支持她定量报告用户反馈,并使用它来假设和测试对VA解决方案的连续更改。为了克服这一限制,我们提出了TraVIS,一个可视化分析解决方案,允许加载基于web的VA系统,收集用户痕迹,并根据手头的系统分析它们。在此过程中,设计人员可以利用收集到的跟踪,并将它们与VA解决方案支持的任务以及如何实现这些任务联系起来。使用TraVIS,设计师可以识别无效的交互路径,分析支持任务完成的用户跟踪,假设对设计的更正,并评估更改的效果。我们通过对文献中的11个VA系统的实验、一个用例和5位专家的用户评估来评估TraVIS。结果显示TraVIS在识别设计问题和有效支持UCD方面提供的好处。特拉维斯可以在https://github.com/XAIber-lab/TraVIS找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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