Most studies of Personal Informatics (PI) focus on the holistic experience of self-tracking or how users relate to self-tracking goals. Recently, new tracker metrics became available in commercial systems, e.g. stress scores or body battery. Hence, more attention should be devoted to what users track and how they understand metrics produced by their trackers. Charting the evolution of metrics in PI can enable building systems that better support well-being. To this end, we interviewed n=25 fitness tracker users to discover what metrics are most important to them, how they understand the metrics, and how they formulate their goals with respect to the metrics. We found that users created a metric ecology which they adjusted to their life circumstances, reformulating their goals. We identified key issues in understanding metrics which bear the risk of misuse. We contribute recommendations for future PI systems as self-tracking metrics increase in complexity.
https://dl.acm.org/doi/10.1145/3706598.3713650
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)