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What 30 Days Tells Us About 3 Years: Identifying Early Signs of User Abandonment and Non-Adherence

Published: 20 May 2019 Publication History

Abstract

The ubiquity of wearable fitness trackers offers extensive opportunities for research on personal health. However, barriers specific to these trackers such as device abandonment and non-adherence often lead to substantial losses in data. As such, further research into adherence behaviors may derive the insights necessary to address these challenges and lead to more effective long-term studies. This paper serves to explore this approach: investigating the adherence behaviors of 617 college students belonging to a three-year observational study in which participants were monitored via Fitbit Charge HRs. Using this data, our objective was to assess the association between early adherence behaviors and device abandonment/long-term adherence. Adherence behavior from as early as participants' first 10 days in the study correlated with device abandonment and adherence over the next three years. Participants with unsatisfactory adherence in their first 30 days were twice as likely to abandon their devices and were, on average, 11% less adherent each month. The findings in this paper identify the stability of adherence behaviors, feasibility of their early detection and motivate the need to address non-adherent study participants early. Throughout these results, we discuss how the insights gathered from this work may shape the design of future long-term studies to minimize user attrition and promote prolonged engagement.

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Cited By

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  • (2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
  • (2023)Estimation of the knee joint load using plantar pressure data measured by smart socksTechnology and Health Care10.3233/THC-23500831:6(2423-2434)Online publication date: 16-Nov-2023
  • (2022)Longitudinal user experience studies in the IoT domainProceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems10.1145/3554364.3559135(1-13)Online publication date: 17-Oct-2022
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Published In

cover image ACM Other conferences
PervasiveHealth'19: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare
May 2019
475 pages
ISBN:9781450361262
DOI:10.1145/3329189
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • EAI: The European Alliance for Innovation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 May 2019

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Author Tags

  1. Fitbit
  2. User abandonment
  3. adherence
  4. fitness trackers
  5. long-term study
  6. wearables

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  • Research-article
  • Research
  • Refereed limited

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PervasiveHealth'19

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Overall Acceptance Rate 55 of 116 submissions, 47%

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Cited By

View all
  • (2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
  • (2023)Estimation of the knee joint load using plantar pressure data measured by smart socksTechnology and Health Care10.3233/THC-23500831:6(2423-2434)Online publication date: 16-Nov-2023
  • (2022)Longitudinal user experience studies in the IoT domainProceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems10.1145/3554364.3559135(1-13)Online publication date: 17-Oct-2022
  • (2021)Understanding User Requirements for Self-Created IoT Health Assistant SystemsProceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia10.1145/3490632.3490645(43-55)Online publication date: 5-Dec-2021
  • (2021)Investigating the Relationship between Data Literacy and Tracker Abandonment2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops51409.2021.9431149(220-225)Online publication date: 22-Mar-2021
  • (2020)Predicting Participant Compliance with Fitness Tracker Wearing and EMA Protocols in Information Workers: An Observational study (Preprint)JMIR mHealth and uHealth10.2196/22218Online publication date: 30-Nov-2020

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