The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Lee, I.-M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., & Katzmarzyk, P. T. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61031-9 · Cited by 8,215
Global physical activity levels: surveillance progress, pitfalls, and prospects
Hallal, P. C., Andersen, L. B., Bull, F. C., Guthold, R., Haskell, W., & Ekelund, U. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60646-1 · Cited by 5,711
Fit Yourself and Take Your Lungs to Heart
Palange, P., & Bonini, M. (2013) · Respiration · doi:10.1159/000350831 · Cited by 2,780
Persuasive Systems Design: Key Issues, Process Model, and System Features
Oinas-Kukkonen, H., & Harjumaa, M. (2009) · Communications of the Association for Information Systems · doi:10.17705/1cais.02428 · Cited by 1,663
Persuasive technology: using computers to change what we think and do
Fogg, B. J. (2002) · Ubiquity · doi:10.1145/764008.763957 · Cited by 1,554
Boulos, M. N. K., Wheeler, S., Tavares, C., & Jones, R. B. (2011) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-10-24 · Cited by 1,123
Garcia-Aymerich, J., Lange, P., Benet, M., Schnohr, P., & Anto, J. M. (2006) · Thorax · doi:10.1136/thx.2006.060145 · Cited by 1,113
Dennison, L., Morrison, L., Conway, G., & Yardley, L. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2583 · Cited by 895
A Systematic Framework for Designing and Evaluating Persuasive Systems
B, H. O.-K. A., & Harjumaa, M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-68504-3_15 · Cited by 411
Self-citation
Cited by
Sorted by citations
A systematic review of just-in-time adaptive interventions (JITAIs) to promote physical activity
Hardeman, W., Houghton, J., Lane, K., Jones, A., & Naughton, F. (2019) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-019-0792-7 · Cited by 396
Villinger, K., Wahl, D. R., Boeing, H., Schupp, H. T., & Renner, B. (2019) · Obesity Reviews · doi:10.1111/obr.12903 · Cited by 310
Tremain, H., McEnery, C., Fletcher, K., & Murray, G. (2020) · JMIR Mental Health · doi:10.2196/17204 · Cited by 193
A new way of teaching business ethics: The evaluation of virtual reality-based learning media
Sholihin, M., Sari, R. C., Yuniarti, N., & Ilyana, S. (2020) · The International Journal of Management Education · doi:10.1016/j.ijme.2020.100428 · Cited by 191
Gardiner, P. M., McCue, K. D., Negash, L. M., Cheng, T., White, L. F., Yinusa-Nyahkoon, L., Jack, B. W., & Bickmore, T. W. (2017) · Patient Education and Counseling · doi:10.1016/j.pec.2017.04.015 · Cited by 139
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 ›
Are you an author, or do you see a problem with this page? Request a review
