Enabling Practical and Rich User Digitization

A long-standing vision in computer science has been to evolve computing devices into proactive assistants, that enhance our productivity, health and wellness, and many other facets of our lives. User digitization is crucial in achieving this vision as it allows computers to intimately understand their users, capturing activity, pose, routine, and behavior. Today’s consumer devices – like smartphones and smartwatches – provide a glimpse of this potential, offering coarse digital representations of users with metrics such as step count, pulse, and a handful of human activities like running and biking. Even these very low-dimensional representations are already bringing value to millions of people’s lives, but there is significant potential for improvement. In my research, I develop new technologies that allow consumer devices to capture rich, continuous representations of their users. Armed with such knowledge, our future devices could offer full-body avatars for extended reality, embodied telepresence experiences, more productive work environments, and longitudinal health tracking, to name just a few domains. Critically, these advances cannot come at the expense of device practicality, meaning my work must be strategic in selecting new sensors and making clever use of existing sensors and edge computation, to name just a few domains.

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