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Hanna Schneider
LOL: Levels of Learning Through Personal Informatics
In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (bib)

Users of self-tracking (such as tracking steps) tend to abandon the technology after a few months of using it. Previous user research suggests that users have âlearned enoughâ and feel they no longer benefit from the technology. However, what exactly does âlearned enoughâ entail? What, when, and how do users actually learn? This paper reports our initial efforts to investigate these questions. We (a) present a small- scale mixed-method pilot study in which we explored learning with step trackers; (b) suggest four levels of learning that Personal Informatics tools can foster: data level, routine level, correlational level, and problem- screening level; and (c) discuss how future research can use and extend this initial framework to study what and how people learn with self-tracking technology.