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Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review
Abstract
Persuasive technology in mobile applications can be used to influence the behaviour of users. A framework known as the Persuasive Systems Design model has been developed for designing and evaluating systems that influence the attitudes or behaviours of users. This paper reviews the current state of mobile applications for health behavioural change with an emphasis on applications that promote physical activity. The inbuilt persuasive features of mobile applications were evaluated using the Persuasive Systems Design model. A database search was conducted to identify relevant articles. Articles were then reviewed using the Persuasive Systems Design model as a framework for analysis. Primary task support, dialogue support, and social support were found to be moderately represented in the selected articles. However, system credibility support was found to have only low levels of representation as a persuasive systems design feature in mobile applications for supporting physical activity. To ensure that available mobile technology resources are best used to improve the wellbeing of people, it is important that the design principles that influence the effectiveness of persuasive technology be understood.
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“Today, technology-based interventions are becoming increasingly popular for delivering health-related behavioral changes [5–7].”
From Engaging women with an embodied conversational agent to deliver mindfulness and lifestyle recommendations: A feasibility randomized control trial (2017) · cites this paper as [6]
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Metadata
- Authors
- Matthews, J., Win, K. T., Oinas-Kukkonen, H., & Freeman, M.
- Affiliations
- University of Wollongong (AU)
- Corresponding author
- Win, Khin Than
- Venue
- Journal of Medical Systems
- Published
- 2016-01-09
- Volume
- 40
- Issue
- 3
- Pages
- 72-72
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2228179258
- Cited by
- 239
- References
- 52
- Citations by year
- 2026: 12 · 2025: 7 · 2024: 27 · 2023: 18 · 2022: 29 · 2021: 30 · 2020: 37 · 2019: 24 · 2018: 27 · 2017: 23 · 2016: 5
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- Research Online (University of Wollongong) (submittedVersion)
- Figshare (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- persuasive technology, mobile health apps, physical activity promotion, health behavior change, dialogue support, social support
- MeSH terms
- Humans, Social Support, Health Behavior, Exercise, Reminder Systems, Cell Phone, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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