Identification and Classification of Usage Patterns in Long-Term Activity Tracking
Meyer, Jochen and Wasmann, Merlin and Heuten, Wilko and El Ali, Abdallah and Boll, Susanne
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Activity trackers are frequently used in health and well-being, but their application in effective interventions is challenging. While research for reasons of use and non-use is ongoing, little is known about the way activity trackers are used in everyday life and over longer periods. We analyzed data of 104 individuals over 14,413 use days, and in total over 2.5 years. We describe general tracker use, periodic changes and overall changes over time, and identify characteristic patterns. While the use of trackers shows large individual heterogeneity, from our findings we could identify and classify general patterns for activity tracker use such as try-and-drop, slow-starter, experimenter, hop-on hop-off, intermittent and power user. Our findings contribute to the body of knowledge towards the successful design of effective health technologies, health interventions, and long-term health applications.
2017
inproceedings
ACM
CHI '17
667-678
AEQUIPA
Physical activity and health equity: primary prevention for healthy ageing
Distributed Personal Archives
Aggregating Health Profiles from Distributed Personal Archives
Physical activity and health equity: primary prevention for healthy ageing
Distributed Personal Archives
Aggregating Health Profiles from Distributed Personal Archives
