Written by Chris Stone
Smartwatches are back. The 2010s was the decade when wearable technology became established, with companies such as Apple, Motorola, Samsung, LG and Sony all producing wrist worn computing devices capable of communicating with their owners’ smartphones. At the same time, fitness bands became popular amid a growing trend for personal health and fitness monitoring. Then in 2024 sales declined, largely as a result of consumer loss of faith in the then-market leading Apple watch after a lack of new features and a rumoured upgrade which failed to materialise. However, the smartwatch market rebounded in 2025 with an 8% year-on-year growth in global smartwatch shipments. China became a major player in the wearable tech industry, with the rise of manufacturers such as Huawei and Xiaomi driven by a growing domestic consumer appetite causing it to overtake the US as the world’s largest market for advanced smartwatches for the first time [ref 1].
As use of smartwatches has become more widespread, their adoption as a lifestyle management tool has also increased. Health tracking apps have become popular as smartwatch users take advantage of the capability to monitor their health and fitness levels in real time and use the devices to measure progress towards their goals. The digital health tracking app market has been forecast to grow from US$16.11bn in 2024 to US$67.97bn by 2034, a compound annual growth rate of 15.94% [2]. Capturing data on health metrics such as physical activity, sleep patterns, and heart rate, allows users to make informed decisions about their lifestyle behaviour and monitor chronic conditions, while the growing use of machine learning and artificial intelligence provides increasing accuracy and the potential for greater personalisation.
The presence of an array of on-board sensors, together with mobile communications, storage, capability for data processing, and an intuitive touch-screen interface makes smartwatches powerful tools for health monitoring. These same features enable the smartwatch to be used for capturing a wide range of behavioural data which can be used for research purposes. Much of psychological research takes place in the laboratory, where conditions can be carefully controlled and one variable is manipulated in isolation to study its effect on another. However, the laboratory setting doesn’t necessarily reflect the reality of human life. Now, mobile and wearable technology can give us the ability to measure human behaviour out “in the wild”. We can even extend this concept, by taking advantage of the messaging capabilities of the smartwatch, to develop behaviour change interventions hosted on the smartwatch itself which respond in real time to an individual’s need for support. This type of intervention, delivered in the moment of need and tailored to the individual’s circumstances at the time, is known as a “just-in-time adaptive intervention” – often referred to by its acronym, JITAI.
In the Translational and Applied Research Group here at the University of Bristol we have developed a smartwatch-based JITAI to help prevent smoking relapse. Stopping smoking brings a number of health benefits, some relatively quickly and others on a more sustained basis as smoking cessation continues. But quitting is notoriously difficult, and many have tried all sorts of ways to stop smoking, with limited success. We need to find innovative methods of helping smokers quit, and this is where a JITAI can help. For those who are trying to give up, an initial lapse is a vulnerable moment, and risks leading to a full relapse to habitual smoking. If we can identify this point of lapse, and deliver intervention support precisely at that moment, we have an opportunity to improve the success of the quit attempt.
The basis of our intervention, known as “StopWatch”, is passive detection of smoking, where data from the motion sensors in the smartwatch is processed by an algorithm which identifies the “signature gesture” of cigarette smoking and triggers the delivery of a supportive message on the smartwatch screen. Development of the system took the form of a two-stage process, firstly to determine the algorithm for passive detection of smoking (“passive” meaning no input is needed from the user) and iteratively improve its performance through a series of tests with smokers in the laboratory and in free-living conditions, and secondly to build the intervention mechanism onto the passive detection such that detection triggers the intervention at the right moment. We adopted patient/public involvement in the design of the intervention, working with a stakeholder panel of cancer patients and holding focus group sessions with smokers to take their views into account, and using the Person-Based Approach, an established methodology for intervention design. We promoted the study through community-based health provider networks in inner-city areas of east and south Bristol, and engaged a marketing agency to help us target participant recruitment across a range of socio-economic positions and amongst seldom-reached groups. We then conducted tests with smokers themselves trialing the system over two weeks in their natural living environment to evaluate the feasibility and acceptability of the intervention.
Participants in our feasibility study reported increased awareness of smoking and motivation to quit. Our results indicated that alerting participants when smoking was detected reduced the automaticity of smoking behaviour, and the ability to track smoking was viewed as helpful in progressing participants’ quit attempts. Adherence to using the intervention was high throughout the testing period, but there were however some challenges with keeping the smartwatch battery charged which could potentially reduce adherence. Our overall findings indicate that the StopWatch smoking relapse intervention is both feasible and acceptable to smokers wishing to quit, and that a smartwatch is a convenient platform on which to host such an intervention.
Full details of this work can be found in our paper published in JMIR Formative Research [3]. In carrying out this project, we have aimed to harness the latest thinking in intervention design, and deliver it in a convenient wearable package with minimal burden to the user and maximum engagement with behaviour change; and in doing so, demonstrate the potential for interventions such as this to make a difference to people’s lives.
In addition to this work, we have explored other applications for the use of wearable technology in health and behavioural research, notably the potential for objective assessment of eating [4] and the use of wearable cameras for researching parent-child interactions [5]. We have also developed a smartwatch-based system for frequent capture of self-reported data over extended periods of time, using a technique known as ecological momentary assessment, where an individual is prompted to respond to brief questions about their state or circumstances. We have used this to measure patterns of alcohol use among young adults [6] and nutrition in children and adolescents in semi-rural Malaysia [7]. Our work has attracted widespread media attention; on publication, the StopWatch smoking relapse intervention was reported by over 200 news outlets worldwide, including in the UK front-page coverage in The Times newspaper and national news interviews on ITV News and Channel 4 News; the smartwatch app for capturing data on alcohol use also raised interest, being featured on a number of websites including BBC News and resulting in interviews on BBC local radio stations.
Acknowledgements
Research like this is very much a collaborative effort, and over the timescale of the project has involved colleagues in the Translational and Applied Research Group (formerly the Tobacco and Alcohol Research Group) at the University of Bristol, PPI specialists in Cancer Research UK’s Integrative Cancer Epidemiology Programme, and intervention development experts at Southampton University and the University of East Anglia, as well as several undergraduate placement students and students undertaking research apprenticeships in the School of Psychological Science at the University of Bristol. I would like to acknowledge the contribution of the other authors of our StopWatch paper: Professor Angela Attwood, Dr Andy Skinner and Dr Joe Matthews (Bristol); Professor Felix Naughton (UEA); and Dr Rosie Essery (Southampton); and in particular would like to thank Dr Andy Skinner for his guidance, insight and inspiration in his role as project lead, without which this work would not have been possible.
Funding
This project has been undertaken within the Integrative Cancer Epidemiology Programme (ICEP), which is part of the Medical Research Council Integrative Epidemiology Unit (MRC IEU) at the University of Bristol. ICEP is funded by Cancer Research UK (grant reference C18281/A29019). The MRC IEU is supported by the Medical Research Council and the University of Bristol (grant references MC_UU_00032/05 and MC_UU_00032/07). The author of this report and the authors of the paper resulting from the project have no conflicts of interest in relation to it.
Bio
Chris Stone started out in vision research at the University of Bristol in the early 1980s. He then pursued a career in the information systems and tech development industry, later returning to the School of Psychological Science to create innovative applications of wearable technology to improve lifestyle health choices through ecologically-valid, data-driven behaviour change interventions.
References
- Singh B, Jain A (2025). “Global Smartwatch Market Analysis and Insights”. Counterpoint Technology Market Research.
- Pandey D, Shivarkar A (2024). “Digital Health Tracking App Market Sizing”. Towards Healthcare.
- Stone C, Essery R, Matthews J, Naughton F, Munafò M, Attwood A, Skinner A (2024). “Presenting and evaluating a smartwatch-based smoking relapse intervention (‘StopWatch’): feasibility and acceptability study”. JMIR Formative Research 2024;8:e56999. doi:10.2196/56999. https://doi.org/10.2196/56999
- Skinner A, Toumpakari Z, Stone C and Johnson L (2020). “Future Directions for Integrative Objective Assessment of Eating Using Wearable Sensing Technology”. Frontiers in Nutrition, 7:80. doi: 10.3389/fnut.2020.00080
- Skinner A, Costantini I, Stone CJ, Darios J, Gray M, Culpin I, & Pearson RM (2023). “Identifying stakeholder priorities in use of wearable cameras for researching parent-child interactions”. Frontiers in Child and Adolescent Psychiatry, doi:10.3389/frcha.2023.1111299
- Stone C, Adams S, Wootton R, Skinner A (2025). “Smartwatch-based Ecological Momentary Assessment for high temporal density longitudinal measurement of alcohol use (‘AlcoWatch’): feasibility evaluation”. JMIR Formative Research 2025;9e63184. doi:10.2196/63184. https://doi.org/10.2196/63184
- Lane R, Millard L, Salway R, Brady S, Skinner A, Stone C, Mariapun J, Rajakumar S, Ramadas A, Rizal H, Johnson L, Su TT, Armstrong M (2026). “The Feasibility of Smartwatch Micro Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the SEACO Child Health Update 2020: a Cross-Sectional Study”. Journal of Medical Internet Research, in press. doi:10.2196/73435. https://doi.org/10.2196/73435








