Fitness Trackers (FTs) have enabled users with new affordance in health management. However, users report low retention rates of FTs for long term usage.
The objective of this thesis is to explore a design paradigm for FTs using principles of self-modeling and neurophenomenology in the design of FT visualizations.
It is aimed to foster long term use of FTs by employing art-design aesthetics and analytical visualization by integrating user’s actions with the intent of providing users a better experience, motivating them to curate data visualization over a long term period. Research methodology in process and design of Art Graph (AG) utilized archetype, persona and usability test.
The design of interaction is experienced as personal examination through data analytics that functions as a visual data language of mind-body synergy.
Three types of persona were employed to demonstrate the AG visualization values with classic somatotype body classification ectomorph, endomorph and mesomorph.