An Interactive Sensemaking Framework for Mobile Visual Analytics
Increasing mobility for modern life requires people to access information and make decisions on the go. Mobil applications place special constraints that challenge the existing ways of visual analytic design where relatively stable and interaction-rich contexts are assumed. In tasks like learning unfamiliar places, current visualizations on mobile devices are not capable of helping users to form a good cognitive map of the environment. How can we take advantage of rich physical environmental cues and supplement with computational power to help people make sense of the environment? In this paper, we present a framework of sensemaking to model how people get insight into the environment as they navigate around. Based on this framework, we present design guidelines for mobile visual analytics that could enhance the spatial awareness of the navigator and analyze several existing designs through the discussion.
mobile visual analytics spatial information sensemaking navigation interface design
Anna Wu Xiaolong(Luke) Zhang Guoray Cai
Pennsylvania State University College of Information Sciences and Technology University Park, PA 16802
国际会议
The 3rd Visual Information Communication-International Symposium(第三届视觉信息通信国际研讨会VINCI 2010)
北京
英文
133-141
2010-09-28（万方平台首次上网日期，不代表论文的发表时间）