An heuristic set for evaluation in information visualization
An heuristic set for evaluation in information visualization
复制标题
用于信息可视化评估的启发式集
DOI：
10.1145/1842993.1843029
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
J. Johansson
中科院分区：
文献类型：
--
作者：
C. Forsell;J. Johansson
评估是国际信息可视化（InfoVis）社区的一个关键研究挑战，启发式评估是一种公认的方法。已经提出了各种各样的算法，但是对于哪种算法对于解决现代InfoVis系统中使用的复杂交互式视觉显示器的特定方面最有用，仍然没有达成共识。本文提出了第一次努力，以经验确定一套新的这样的一般的启发式评估InfoVis技术中的常见和重要的可用性问题的启发式评估量身定制的approachistics。研究参与者评估了6个早期发布的启发式集合中的63个启发式集合如何解释早期InfoVis评估中的74个可用性问题。这些结果被用来合成10个解释学，作为一个集合，提供了最高的解释覆盖率。本文还强调了未来研究的挑战，以验证和进一步改进这一套。
Evaluation is a key research challenge within the international Information Visualization (InfoVis) community, and Heuristic Evaluation is one recognized method. Various sets of heuristics have been proposed but there remains no consensus as to which heuristics are most useful for addressing aspects specific to the complex interactive visual displays used in modern InfoVis systems. This paper presents a first effort to empirically determine a new set of such general heuristics tailored for Heuristic Evaluation of common and important usability problems in InfoVis techniques. Participants in the study rated how well a total of 63 heuristics from 6 earlier published heuristic sets could explain a collection of 74 usability problems derived from earlier InfoVis evaluations. The results were used to synthesize 10 heuristics that, as a set, provided the highest explanatory coverage. The paper also stresses the challenges for future research to validate and further improve upon this set.