Visualization Design Based on Personal Health Data and Persona Analysis

Today, thanks to the development of wearable devices, people can easily accumulate and get access to their own health data. Through these health data, individuals can better quantify and manage their health status. However, there is a problem that health data is not fully used due to its complexity that non-expert individuals experiencing difficult in understanding. Visualization is widely used in helping people to understand data. In this study, we design a visualization system to solve the problem. Based on the intuitive design and intelligible interaction concept, we propose four functions: overview, detailed annotation, temporal comparison and horizontal comparison in the visualization system. We utilize persona analysis to help interaction design in the visualization system and describe application scenarios.

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