  Our research aims to develop intelligent collaborative agents that are
human-aware - they can model, learn, and reason about their human partner's
physiological, cognitive, and affective states. In this paper, we study how
adaptive coaching interactions can be designed to help people develop
sustainable healthy behaviors. We leverage the common model of cognition - CMC
[26] - as a framework for unifying several behavior change theories that are
known to be useful in human-human coaching. We motivate a set of interactive
system desiderata based on the CMC-based view of behavior change. Then, we
propose PARCoach - an interactive system that addresses the desiderata.
PARCoach helps a trainee pick a relevant health goal, set an implementation
intention, and track their behavior. During this process, the trainee
identifies a specific goal-directed behavior as well as the situational context
in which they will perform it. PARCcoach uses this information to send
notifications to the trainee, reminding them of their chosen behavior and the
context. We report the results from a 4-week deployment with 60 participants.
Our results support the CMC-based view of behavior change and demonstrate that
the desiderata for proposed interactive system design is useful in producing
behavior change.
