A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being
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This research paper delves into the effectiveness and impact of behavior change techniques fostered by information technologies, particularly wearables and Internet of Things (IoT) devices, within the realms of engineering and computer science. By conducting a comprehensive review of the relevant literature sourced from the Scopus database, this study aims to elucidate the mechanisms and strategies employed by these technologies to facilitate behavior change and their potential benefits to individuals and society. Through statistical measurements and related works, our work explores the trends over a span of two decades, from 2000 to 2023, to understand the evolving landscape of behavior change techniques in wearable and IoT technologies. A specific focus is placed on a case study examining the application of behavior change techniques (BCTs) for monitoring vital signs using wearables, underscoring the relevance and urgency of further investigation in this critical intersection of technology and human behavior. The findings shed light on the promising role of wearables and IoT devices for promoting positive behavior modifications and improving individuals’ overall well-being and highlighting the need for continued research and development in this area to harness the full potential of technology for societal benefit.
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The study design was based on the premise that immediate feedback and positive outcomes would reinforce healthy behaviors.
“The study design was based on the premise that immediate feedback and positive outcomes would reinforce healthy behaviors [12].”
From Sequential use of continuous glucose monitoring, with or without exercise trackers, significantly improves glycemic control in patients with type 2 diabetes (2025) · cites this paper as [12]
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- Authors
- Del-Valle-Soto, C., López-Pimentel, J. C., Vázquez-Castillo, J., Nolazco-Flores, J. A., Velázquez, R., Varela-Aldás, J., & Visconti, P.
- Affiliations
- Universidad Panamericana (MX)
- Department of Informatics and Networking, Universidad Autónoma del Estado de Quintana Roo, Chetumal 77019, Mexico
- School of Engineering and Science, Tecnólogico de Monterrey, Monterrey 64849, Mexico
- Universidad Panamericana, campus Aguascalientes (MX)
- Centro de Investigaciones de Ciencias Humanas y de la Educación—CICHE, Universidad Indoamérica, Ambato 180103, Ecuador
- University of Salento (IT)
- Corresponding author
- Del-Valle-Soto, Carolina
- ORCID
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2024-04-10
- Volume
- 24
- Issue
- 8
- Pages
- 2429
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC11054424
- OpenAlex
- W4394693164
- Cited by
- 52
- References
- 76
- Citations by year
- 2026: 30 · 2025: 18 · 2024: 4
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- AIRUS (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Universidad Panamericana
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- behaviour change techniques, wearable devices, Internet of Things, health monitoring, vital signs monitoring, well-being, health behavior change, technology adoption trends
- MeSH terms
- Wearable Electronic Devices, Internet of Things, Humans
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