Databiting: Enabling Lightweight, Transient, and In-Situ Exploration of Personal Fitness Data on Smartwatches

Lay Abstract

My disseration focused on enhancing how people interact with their personal health data on smartwatches. We introduced the concept of databiting, with the goal of allowing exploration of data in both a quick and easy manner. Through a learned understanding of peoples’ smartwatch data exploration needs, we developed DataWatch. DataWatch is an Apple Watch application allowing people to question and explore their past collected fitness data before, during, and after a workout. By enabling further exploration on the smartwatch, from that of the current visualizations, DataWatch provides the potential for increased actionable insights and motivation in exploring one’s data. Our findings not only demonstrate that people desire more interactive and insightful health data exploration on their smartwatches, but also validates that such exploration directly on the smartwatch is both feasible and beneficial. Finally, results guide future advancements for increasingly personalized and capable health data exploration on the smartwatch.

In More Detail

Please review my dissertation (linked above) for an abstract, all study details, methodologies, complete results, and discussion.