ArticleJMIR mHealth and uHealth2020
Using Internet of Things to Reduce Office Workers' Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Development, implementation and evaluation of a smartphone application aimed to reduce sedentary time and increase physical activity among Indian sedentary office workers - findings from SMART-STEP trial.BMC public health · 2025Trial
- Intervention development to reduce sedentary behaviour among adults: a qualitative investigation using the Behaviour Change Wheel.The international journal of behavioral nutrition and physical activity · 2026Article
- Telehealth Intervention to Reduce Sedentary Behavior in Older Adults With Type 2 Diabetes: Development and Feasibility Study.Journal of medical Internet research · 2026Article
- Using the behavior change wheel (BCW) framework for health interventions focusing on diet and physical activity in the workplace: a scoping review.Frontiers in public health · 2026Article
- Developing a theory-based intervention to enhance physical activity in older adults with atrial fibrillation and frailty: a behavior change wheel approach.Frontiers in public health · 2025Article
- Artificial Intelligence and Occupational Health and Safety, Benefits and Drawbacks.La Medicina del lavoro · 2024Article
- Bridging Implementation Science and Human-Centered Design: Developing Tailored Interventions for Healthier Eating in Restaurants.Global implementation research and applications · 2024Article
- Exploring the Potential of Technology to Promote Exercise Snacking for Older Adults Who Are Prefrail in the Home Setting: User-Centered Design Study.JMIR aging · 2023Article
- Feasibility and Acceptability of an Internet of Things-Enabled Sedentary Behavior Intervention: Mixed Methods Study.Journal of medical Internet research · 2023Article
- Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel.BMC public health · 2022Article
- Development of a computer-aided text message platform for user engagement with a digital Diabetes Prevention Program: a case study.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Understanding the Implementation of "Sit Less at Work" Interventions in Three Organisations: A Mixed Methods Process Evaluation.International journal of environmental research and public health · 2021Article
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Authors and funding
7 authors.
Funding
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Abstract
backgroundSedentary behavior (SB) is associated with various adverse health outcomes. The prevalence of prolonged sitting at work among office workers makes a case for SB interventions to target this setting and population. Everyday mundane objects with embedded microelectronics and ubiquitous computing represent a novel mode of delivering health behavior change interventions enabled by internet of things (IoTs). However, little is known about how to develop interventions involving IoT technologies.
objectiveThis paper reports the design and development of an IoT-enabled SB intervention targeting office workers.
methodsThe process was guided by the behavior change wheel (BCW), a systematic framework for theory-informed and evidence-based development of behavior change interventions, complemented by the human-centered design (HCD) approach. Intervention design was shaped by findings from a diary-probed interview study (n=20), a stakeholder design workshop (n=8), and a series of theoretical mapping and collaborative technical design activities.
resultsThe resulting intervention named WorkMyWay targets a reduction in office workers' prolonged stationary behaviors at work and an increase in regular breaks by modifying behavioral determinants in 11 theoretical domains with 17 behavior change techniques. The delivery technology consists of a wearable activity tracker, a light-emitting diode reminder device attached to a vessel (ie, water bottle or cup), and a companion Android app connected to both devices over Bluetooth. The delivery plan consists of a 2-week baseline assessment, a 30-min face-to-face action planning session, and 6-week self-directed use of the delivery technology.
conclusionsThis is the first study to demonstrate that it is possible to develop a complex IoT-enabled intervention by applying a combination of the BCW and HCD approaches. The next step is to assess the feasibility of WorkMyWay prior to testing intervention efficacy in a full-scale trial. The intervention mapping table that links individual intervention components with hypothesized mechanisms of action can serve as the basis for testing and clarifying theory-based mechanisms of action in future studies on WorkMyWay.
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