  Current technologies have enabled us to track and quantify our physical state
and behavior. Self-tracking aims to achieve increased awareness to decrease
undesired behaviors and lead to a healthier lifestyle. However, inappropriately
communicated self-tracking results might cause the opposite effect. In this
work, we propose a subtle self-tracking feedback by mirroring the self's state
into an artificial agent. By eliciting empathy towards the artificial agent and
fostering helping behaviors, users would help themselves as well. Finally, we
reflected on the implications of this design framework, and the methodology to
design and implement it. A series of interviews to expert designers pointed out
to the importance of having multidisciplinary teams working in parallel.
Moreover, an agile methodology with a sprint zero for the initial design, and
shifted user research, design, and implementation sprints were proposed.
Similar systems with data flow and hardware dependencies would also benefit
from the proposed agile design process.
