基于认知模型的合作概念图可视化分析

Yi Du, Cuixia Ma, Dongxing Teng, G. Dai
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引用次数: 1

摘要

在可视化分析过程中识别用户及其意图的能力对于在协作环境中进行智能且轻松的交互非常重要。在本文中,我们提出了用于创建和修改概念图的框架,该概念图允许分析人员在可视化界面中协作和利用企业数据的实时收集。在对可视化分析中的用户和任务建模的基础上,提出了支持协同分析的用户模型。在此基础上,提出了概念图布局算法,便于可视化分析。该界面向分析人员展示了用户认为相关的某些数据的仪表板配置,并提供了促进决策过程的工具。最后,我们将其应用于一个协同可视化决策支持系统。实验结果表明,该方法增强了企业数据配置协同概念图的可访问性和个性化,有助于增强可视化分析过程中的用户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative concept map based on cognitive model for visual analysis
The ability to recognize users and their intention during the visual analysis process is important to interact intelligently and effortlessly in a cooperative environment. In this paper, we present the framework for creating and modifying a concept map that allows analysts to collaborate and utilize live collection of enterprise data in a visual interface. Based on modeling users and tasks in visual analysis, a user model supporting collaborative analysis is given. Furthermore, we propose the algorithm of concept map layout to facilitate the visual analysis. The interface presents the analyst with the dashboard configuration of certain data that users deems relevant, provides tools to facilitate the decision making process. Finally, we apply it to a collaborative visual decision support system. Experimental results show that it enhances the accessibility and the individualization of collaborative concept map for configuring enterprise data and helps to enhance user experience during the visual analysis process.
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