Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics
Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics
复制标题
语义交互：通过可用的交互式分析将认知和计算耦合起来
DOI：
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发表时间：
2015
影响因子：
1.8
通讯作者：
Michelle X. Zhou
中科院分区：
文献类型：
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作者：
A. Endert;Remco Chang;Chris North;Michelle X. Zhou
可视化分析的成功取决于用户交互式探索信息的能力。人类通过交互式视觉探索来思考他们的数据，包括测试假设，探索异常以及从数据中建立理解的其他认知过程。这些见解是由于交互而产生的，这一说法导致太平洋西北国家实验室（PNNL）研讨会的与会者“语义交互：通过可用的交互式分析耦合认知和计算”，以强调用户交互必须在可视化分析系统中发挥更重要的作用，作为耦合认知和计算的方法。本研讨会报告中讨论的主张和设计原则提出了通过称为语义交互的用户交互方法来推进视觉分析的研究方向。
The success of visual analytics is predicated on the ability of users to interactively explore information. Humans think about their data through interactive visual exploration, including testing hypotheses, exploring anomalies, and other cognitive processes of building understanding from data. The claim that these insights are generated as a result of the interaction led the attendees at the Pacific Northwest National Laboratory (PNNL) workshop on "Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics" to posit that user interaction must play a more central role in visual analytics systems, serving as the method for coupling cognition and computation. The claims and design principles discussed in this workshop report present research directions to advance visual analytics via a user interaction approach called semantic interaction.