  Managing health lays the core foundation to enabling quality life
experiences. Modern computer science research, and especially the field of
recommender systems, has enhanced the quality of experiences in fields such as
entertainment, shopping, and advertising; yet lags in the health domain. We are
developing an approach to leverage multimedia for human health based on
motivation modeling and recommendation of actions. Health is primarily a
product of our everyday lifestyle actions, yet we have minimal health guidance
on making everyday choices. Recommendations are the key to modern content
consumption and decisions. Furthermore, long-term engagement with recommender
systems is key for true effectiveness. Distinguishing intrinsic and extrinsic
motivations from multi-modal data is key to provide recommendations that
primarily fuel the intrinsic intentions, while using extrinsic motivation to
further support intrinsic motivation. This understanding builds the foundation
of sustainable behavioral adaptation for optimal personalized lifestyle health
benefits.
