Activity tracker use decays slower than expected, driven by technical condition and user experience.
Sustained use of activity trackers is primarily influenced by the device's technical functionality and the user's experience, rather than rapid decay as often assumed.
JMIR mhealth and uhealth · 2017
Key Findings
- 01Decay in activity tracker usage is exponential but slower than previously suggested in literature.
- 02Technical condition, user age, user experience, and goal-related factors are the most significant determinants for sustained use.
- 03Many individual factors contribute only minimally to sustained usage.
Application
Design takeaway
Prioritize technical reliability and user experience in the design of activity trackers to ensure sustained user engagement beyond the initial adoption phase.
How to apply
When designing or iterating on wearable devices, conduct longitudinal studies to understand user retention and identify critical factors like technical stability and ease of use.
Project actions
- 01When designing a product, think about how users will interact with it over a long period, not just at the start.
- 02Consider how technical issues or a steep learning curve can cause users to stop using a product.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Observational study provides insight into natural user behaviour.
- +Identifies key determinants for sustained use beyond initial novelty.
Limitations
The study's observational nature means it identifies correlations, but doesn't definitively prove causation for all factors.
Reliability & validity
The study's reliability is supported by its observational nature, capturing real-world usage. Validity is enhanced by examining multiple determinants, though specific context might limit generalizability.
Think critically
How might the 'goal-related factors' evolve over time, and how can designs adapt to support these evolving goals for sustained use?
Design Principles
"Design for longevity through robust functionality and adaptive user engagement."
This research highlights that the longevity of wearable technology adoption is not solely dependent on initial novelty. Designers and product developers should prioritize robust technical performance and intuitive user interfaces to foster long-term engagement.
What This Means for Your Design
People keep using activity trackers longer than we thought if the tracker works well and is easy to use, especially if they are older or have used them before.
How to use in your project
- 1.Reference this study when discussing user retention strategies for technology products, particularly wearables.
- 2.Use the findings to justify design choices aimed at improving device reliability and user onboarding.
Add to My Project
Quick Cite
(2017). Determinants for Sustained Use of an Activity Tracker: Observational Study. JMIR mhealth and uhealth. https://doi.org/10.2196/mhealth.7311 Retrieved from https://designdex.org/study/c28dc723-b164-4d3d-8008-9ebc94ea0e65/activity-tracker-use-decays-slower-than-expected-driven-by-technical-condition-and-user-experience
Paragraph starter
This research indicates that sustained engagement with activity trackers is significantly influenced by their technical condition and the user's experience, suggesting that design efforts should prioritize robust functionality and intuitive interfaces to foster long-term adoption and prevent premature abandonment.
Source
JMIR mhealth and uhealth
Determinants for Sustained Use of an Activity Tracker: Observational Study
journal · 2017
View sourceQuestions about this research
- What does the research say about activity tracker use decays slower than expected, driven by technical condition and user experience?
- Prioritize technical reliability and user experience in the design of activity trackers to ensure sustained user engagement beyond the initial adoption phase. Evidence: JMIR mhealth and uhealth (2017).
- Why does "Activity tracker use decays slower than expected, driven by technical condition and user experience." matter for design?
- This research highlights that the longevity of wearable technology adoption is not solely dependent on initial novelty. Designers and product developers should prioritize robust technical performance and intuitive user interfaces to foster long-term engagement.
- How can designers apply this research?
- Prioritize technical reliability and user experience in the design of activity trackers to ensure sustained user engagement beyond the initial adoption phase.
- What were the main findings?
- Decay in activity tracker usage is exponential but slower than previously suggested in literature.. Technical condition, user age, user experience, and goal-related factors are the most significant determinants for sustained use.. Many individual factors contribute only minimally to sustained usage.
- What research method was used?
- Observational Study.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2017 journal from JMIR mhealth and uhealth.
- What should I do differently in my next project?
- When designing or iterating on wearable devices, conduct longitudinal studies to understand user retention and identify critical factors like technical stability and ease of use.
- What are the limitations?
- The study's findings might be specific to the observed cohort and the particular activity tracker models used; generalizability to all types of wearable devices or user demographics may vary.
- Is there evidence that user affects design outcomes?
- Activity trackers are used for longer than anticipated, with their continued use depending most heavily on how well they work technically, how old the user is, how familiar they are with using such devices, and whether they have specific goals in mind. This research highlights that the longevity of wearable technology Source: JMIR mhealth and uhealth (2017).
- Where does this activity tracker research apply?
- Wearable technology, health and fitness tracking It sits within user-centred design research on designdex.org.
Related research topics
user design research · evidence on user · does user improve design outcomes · activity tracker studies for designers · user and activity tracker findings · user-centred design research evidence