The User Puzzle—Explaining the Interaction with Visual Analytics Systems
The User Puzzle—Explaining the Interaction with Visual Analytics Systems
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用户之谜
DOI：
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发表时间：
2012
影响因子：
5.2
通讯作者：
E. Mayr
中科院分区：
文献类型：
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作者：
M. Pohl;M. Smuc;E. Mayr
可视化分析强调可视化、计算机执行的分析程序与人类感知和认知活动之间的相互作用。在这种情况下，人类推理是一个重要因素。心理学和人机交互中有多种理论解释开放式和探索性推理。本文描述了其中五种理论（意义建构理论、格式塔理论、分布式认知、图理解理论和技能规则知识模型）。我们讨论它们与视觉分析的相关性。为了更系统地做到这一点，我们开发了与视觉分析研究和评估相关的类别模式。所有这些理论在解释与视觉分析系统的交互方面都有优点，但也有缺点。克服这些弱点的一种可能性是将这些理论中的两个或多个结合起来。
Visual analytics emphasizes the interplay between visualization, analytical procedures performed by computers and human perceptual and cognitive activities. Human reasoning is an important element in this context. There are several theories in psychology and HCI explaining open-ended and exploratory reasoning. Five of these theories (sensemaking theories, gestalt theories, distributed cognition, graph comprehension theories and skill-rule-knowledge models) are described in this paper. We discuss their relevance for visual analytics. In order to do this more systematically, we developed a schema of categories relevant for visual analytics research and evaluation. All these theories have strengths but also weaknesses in explaining interaction with visual analytics systems. A possibility to overcome the weaknesses would be to combine two or more of these theories.