A Data Driven Collaborative Caring Framework for Aging in Place in China

In CSCW and related fields, the increasing attentions of “aging in place” and health caring has been paid to copy with the rapidly aging population. Yet, how this theoretical aging caring model works in practical, and how to drive a ubiquitous computing model to support “aging in place”, are still challenging. Based on a series of field work, this study proposes a data driven collaborative caring framework to support aging in place in China. We employ a community-embedded model to structure the whole aged caring process and improve the reliability and real timing of caring. We also design the computing algorithm to support collaborative caring. We evaluate our framework in izhaohu, one well-known elderly-care company in Shanghai, China, and design a prototype to support the whole process. The experimental results demonstrate the effectiveness of our framework as well as the limitation. An in-depth discussion is provided in the end.

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