Evaluating Information Visualization via the Interplay of Heuristic Evaluation and Question-Based Scoring

Marti A. Hearst, Paul Laskowski, Luis Silva
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引用次数: 31

Abstract

In an instructional setting it can be difficult to accurately assess the quality of information visualizations of several variables. Instead of a standard design critique, an alternative is to ask potential readers of the chart to answer questions about it. A controlled study with 47 participants shows a good correlation between aggregated novice heuristic evaluation scores and results of answering questions about the data, suggesting that the two forms of assessment can be complementary. Using both metrics in parallel can yield further benefits; discrepancies between them may reveal incorrect application of heuristics or other issues.
基于启发式评价和基于问题的评分的信息可视化评价
在教学环境中,很难准确地评估几个变量的信息可视化的质量。除了标准的设计评论,另一种选择是让图表的潜在读者回答有关它的问题。一项有47名参与者的对照研究表明,新手启发式评估总分与回答数据问题的结果之间存在良好的相关性,表明这两种评估形式可以互补。同时使用这两个指标可以产生更多的好处;它们之间的差异可能揭示了启发式的不正确应用或其他问题。
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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