Information Visualization Heuristics in Practical Expert Evaluation
Information Visualization Heuristics in Practical Expert Evaluation
复制标题
实际专家评估中的信息可视化启发法
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Petri Ihantola
中科院分区：
文献类型：
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作者：
H. Väätäjä;Jari Varsaluoma;T. Heimonen;Katariina Tiitinen;Jaakko Hakulinen;M. Turunen;Harri Nieminen;Petri Ihantola
虽然传统的人机交互算法也可以用于从信息可视化系统中发现可用性问题，但为信息可视化（InfoViz）领域量身定制的专门算法可以更有效，并专注于这些系统的特殊特性。在这项研究中，我们描述了10个信息可视化启发式的应用，从以前的研究和实际的启发式评价测试。我们发现，在我们的应用案例中，所选择的算法是有用的，具有良好的覆盖率。然而，根据我们的观察，我们认为，互动，准确性和美学相关的技巧，应添加到以前使用的集。由于缺乏领域知识，评估人员对自己进行深入调查的能力感到有些不安。我们建议培训了解数据和应用程序领域的领域专家来进行评估，以获得超出可用性问题的有见地的反馈。
While traditional HCI heuristics can be used to find usability issues also from information visualization systems, specialized heuristics tailored for the information visualization (InfoViz) domain can be more effective and focus on the special characteristics of these systems. In this study, we describe the application of ten information visualization heuristics from prior research and their testing in practical heuristic evaluation. We found that the selected heuristics were useful with good coverage in our application case. However, based on our observations, we argue that interaction, veracity, and aesthetics related heuristics should be added to the previously used set. The lack of domain knowledge made the evaluators somewhat uneasy with their capability to carry out the investigation in-depth. We suggest to train domain experts with understanding of the data and application domain to carry out the evaluation to get insightful feedback beyond usability issues.