• Ning Zou


Individuals increasingly have access to and use a variety of self-tracking technologies in their daily lives, most notably to assist with personal health self-management. As important as self-tracking is for individuals, some argue it should be examined beyond self because it generates data streams and information that impact and are impacted by many others. The collaborative and data-intensive nature of using self-tracking technology for health management motivates this proposed work, which uses a theory-driven approach grounded in personal informatics and collaborative information behavior to empirically examine tracking practices in dementia care. I anticipate that the resulting collective personal informatics framework and design implications will be generalizable and applicable to a broader context of personal health management.


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