Human-engaged health care services recommendation for aging and long-term care

How to provide long-term care for the elderly is one significant challenge for the current aging society. A multiform service platforms and a large number of non-professional caregivers might influence the accuracy and appropriateness of the care programs. In CSCW and related fields, the intelligent methods brought by the development of information technology and pervasive end equipment have attracted wide attention. However, most researches are conducted in a laboratory environment, which makes it difficult to meet the highly complex realities of the elderly. Based on a series of field studies, we have an in-depth understanding of practical effectiveness of directly using intelligence algorithms into the generating process of caring programs. We identify the existing challenges, and proposes a data-driven and human-engaged health care services recommendation algorithm for seniors. We implement our proposed algorithm in a prototype system, and conduct a primary study to validate the effectiveness of the framework.