John E. Wenskovitch, Michelle Dowling, Laura Grose, Chris North, Remco Chang, A. Endert, David H. Rogers
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引用次数: 1
Abstract
At IEEE VIS 2018, we organized the Machine Learning from User Interaction for Visualization and Analytics workshop. The goal of this workshop was to bring together researchers from across the visualization community to discuss how visualization can benefit from machine learning, with a particular interest in learning from user interaction to improve visualization systems. Following the discussion at the workshop, we aggregated and categorized the ideas, questions, and issues raised by participants over the course of the morning. The result of this compilation is the research agenda presented in this work.
在IEEE VIS 2018上，我们组织了可视化和分析的用户交互机器学习研讨会。本次研讨会的目标是将来自可视化社区的研究人员聚集在一起，讨论可视化如何从机器学习中受益，并对从用户交互中学习以改进可视化系统特别感兴趣。在研讨会的讨论之后，我们汇总并分类了参与者在上午的课程中提出的想法、问题和议题。该汇编的结果是本工作中提出的研究议程。
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