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

Robot mirroring: A framework for self-tracking feedback through empathy with an artificial agent representing the self