Multimodal interaction for data visualization

Bongshin Lee, Arjun Srinivasan, J. Stasko, Melanie Tory, V. Setlur
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引用次数: 17

Abstract

Multimodal interaction offers many potential benefits for data visualization. It can help people stay in the flow of their visual analysis and presentation, with the strengths of one interaction modality offsetting the weaknesses of others. Furthermore, multimodal interaction offers strong promise for leveraging data visualization on diverse display hardware including mobile, AR/VR, and large displays. However, prior research on visualization and interaction techniques has mostly explored a single input modality such as mouse, touch, pen, or more recently, natural language. The unique challenges and opportunities of synergistic multimodal interaction for data visualization have yet to be investigated. This workshop will bring together researchers with expertise in visualization, interaction design, and natural user interfaces. We aim to build a community of researchers focusing on multimodal interaction for data visualization, explore opportunities and challenges in our research, and establish an agenda for multimodal interaction research specifically for data visualization.
数据可视化的多模态交互
多模态交互为数据可视化提供了许多潜在的好处。它可以帮助人们停留在可视化分析和演示的流程中,以一种交互模式的优势抵消其他交互模式的弱点。此外,多模式交互为在各种显示硬件(包括移动设备、AR/VR和大型显示器)上利用数据可视化提供了强有力的希望。然而,先前对可视化和交互技术的研究主要是探索单一的输入方式,如鼠标、触摸、笔,或者最近的自然语言。数据可视化中协同多模态交互的独特挑战和机遇还有待研究。本次研讨会将汇集可视化、交互设计和自然用户界面方面的专家。我们的目标是建立一个专注于数据可视化多模态交互研究的研究人员社区,探索我们研究中的机遇和挑战,并建立一个专门针对数据可视化的多模态交互研究议程。
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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