  Ameliorating elderly engagement is vital in rejuvenating independent living.
However, recommended practices lack realization of personal traits despite
socio -economic promise. The recent proliferation of IoT with the advent of
smart-objects/things and personalized services pave the way for context-aware
service management. Eventually, the major goal of this paper is to develop a
context-aware model in predicting engagement of elderly care. Hence, key
requirements are identified for elderly engagement, namely (a) discovery of
contexts, which are relevant (b) scaling up (over time) of engagement. However,
paramount challenges are imposed on this stipulation, such as,
un-observability, independence and composite relationship of contexts.
Therefore, a Topic-model based model is proposed to address scalability of
contexts and its conjugal relationship with engagement. Eventually, systematic
framework is demonstrated, which pinpoints key goals of context-aware services
by participants' opinions, usage and feed-back.
