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Visualizing the effect of actions in personal informatics systems
Ming Liu, Rafael A. Calvo, Abelardo Pardo
In this paper we present Tracer, a system that tracks aspects of a user’s cognitive and affective processes, and behavior through their personal writing, social network website activity, browsing activity and physical activities. Tracer contains several data analysis tools. We focus here on one of its features, an Engagement Gauging Function that measures behavioral engagement. Tracer generates four types of visualizations, individual, group, generic and specific visualizations. Our future work will focus on how to effectively visualize the behavior and affect data for supporting wellbeing and mental health.