My interest is centered around designing and evaluating user experiences of digital technologies that aim to impact major social issues, particularly self-directed life improvement related to both physical and emotional health. In my PhD thesis, I explored how to facilitate users' self-experimentation of alternative behavior change strategies for creating better behavioral routines.
I am on the job market! I am looking for a full-time position where I can actively interact with users and translate their voices into robust user experiences of digital health technologies.
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After a person knows what they “should” do, a separate process is needed to study how to change and maintain the targeted behavior over time. In this work, I developed and evaluated a theory-based approach for supporting individuals in creating and evaluating their own plans for changing their behaviors, which include a context-aware “just-in-time” home-based support system.
This work reports on the tool that enables development of context-aware “just-in-time” home-based support systems for behavior change. The tool integrates a suite of hardware and software, with a focus on balancing between ease-of-use and expressiveness in terms of creating personalized just-in-time interventions.
Self-tracking often involves some degree of self-reported data capture. I am planning to develop a tool for users’ own creation of self-report measures. The tool should be optimized to users’ needs of self-tracking various facets of daily life.
The proposed system was designed to support the independent daily life of patients with mild dementia via leveraging network and sensor technology.