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  • Krämer S, Kottwitz G, Woźniak M, Meyer J and Koelle M. Stepping on the scale? Only in the morning, of course! - Exploring the Lived Experience of Consumer Self-Tracking Technology in the Context of Citizen Science. Proceedings of the 13th Nordic Conference on Human-Computer Interaction. (1-17).

    https://doi.org/10.1145/3679318.3685372

  • Schneegass C, Wilson M, Shaban J, Niess J, Chiossi F, Mitrevska T and Woźniak P. (2024). Broadening the mind: how emerging neurotechnology is reshaping HCI and interactive system design. i-com. 10.1515/icom-2024-0007. 23:2. (165-177). Online publication date: 31-Jul-2024.. Online publication date: 1-Aug-2024.

    https://www.degruyter.com/document/doi/10.1515/icom-2024-0007/html

  • Salehzadeh Niksirat K, Velykoivanenko L, Zufferey N, Cherubini M, Huguenin K and Humbert M. (2024). Wearable Activity Trackers: A Survey on Utility, Privacy, and Security. ACM Computing Surveys. 56:7. (1-40). Online publication date: 31-Jul-2024.

    https://doi.org/10.1145/3645091

  • Kouaho W and Epstein D. Socioeconomic Class in Physical Activity Wearables Research and Design. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. (1-15).

    https://doi.org/10.1145/3613904.3642789

  • Strömel K, Henry S, Johansson T, Niess J and Woźniak P. Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data Interpretation. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. (1-16).

    https://doi.org/10.1145/3613904.3642032

  • Shih H, Quinn L, Morgan-Jones P, Long K, Schreier A and Friel C. (2023). Wearable Activity Monitors to Support Physical Activity Interventions in Neurodegenerative Disease: A Feasibility Study. Neurodegenerative Disease Management. 10.2217/nmt-2022-0028. 13:3. (177-189). Online publication date: 1-Jun-2023.

    https://www.tandfonline.com/doi/full/10.2217/nmt-2022-0028

  • Eslambolchilar P, Stawarz K, Verdezoto Dias N, McNarry M, Crossley S, Knowles Z and Mackintosh K. (2023). Tangible data visualization of physical activity for children and adolescents. International Journal of Child-Computer Interaction. 35:C. Online publication date: 1-Mar-2023.

    https://doi.org/10.1016/j.ijcci.2023.100565

  • Huang Y, Benford S, Li B, Price D and Blake H. (2023). Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study. Journal of Medical Internet Research. 10.2196/43502. 25. (e43502).

    https://www.jmir.org/2023/1/e43502

  • Rawassizadeh R and Rong Y. (2023). ODSearch. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:4. (1-25). Online publication date: 21-Dec-2022.

    https://doi.org/10.1145/3569488

  • Selamet Tierney E, Chung S, Stauffer K, Brabender J, Collins R, Folk R, Li W, Murthy A, Murphy D and Esfandiarei M. (2022). Can 10 000 Healthy Steps a Day Slow Aortic Root Dilation in Pediatric Patients With Marfan Syndrome?. Journal of the American Heart Association. 10.1161/JAHA.122.027598. 11:23. Online publication date: 6-Dec-2022.

    https://www.ahajournals.org/doi/10.1161/JAHA.122.027598

  • Kim Y, Lee H and Chung M. (2022). Living labs for a mobile app-based health program: effectiveness of a 24-week walking intervention for cardiovascular disease risk reduction among female Korean-Chinese migrant workers: a randomized controlled trial. Archives of Public Health. 10.1186/s13690-022-00941-z. 80:1. Online publication date: 1-Dec-2022.

    https://archpublichealth.biomedcentral.com/articles/10.1186/s13690-022-00941-z

  • Cho S, Ensari I, Elhadad N, Weng C, Radin J, Bent B, Desai P and Natarajan K. (2022). An interactive fitness-for-use data completeness tool to assess activity tracker data. Journal of the American Medical Informatics Association. 10.1093/jamia/ocac166. 29:12. (2032-2040). Online publication date: 14-Nov-2022.

    https://academic.oup.com/jamia/article/29/12/2032/6730805

  • Kuosmanen E, Visuri A, Kheirinejad S, van Berkel N, Koskimäki H, Ferreira D and Hosio S. (2022). How Does Sleep Tracking Influence Your Life?. Proceedings of the ACM on Human-Computer Interaction. 6:MHCI. (1-19). Online publication date: 19-Sep-2022.

    https://doi.org/10.1145/3546720

  • Chrismas B, Majed L, Al-Mohannadi A and Sayegh S. (2022). Adherence and retention to the self-managed community-based Step Into Health program in Qatar (2012–2019). Frontiers in Public Health. 10.3389/fpubh.2022.927386. 10.

    https://www.frontiersin.org/articles/10.3389/fpubh.2022.927386/full

  • Chan A, Chan D, Lee H, Ng C and Yeo A. (2022). Reporting adherence, validity and physical activity measures of wearable activity trackers in medical research: A systematic review. International Journal of Medical Informatics. 10.1016/j.ijmedinf.2022.104696. 160. (104696). Online publication date: 1-Apr-2022.

    https://linkinghub.elsevier.com/retrieve/pii/S1386505622000107

  • Cho S, Weng C, Kahn M and Natarajan K. (2021). Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study. JMIR mHealth and uHealth. 10.2196/31618. 9:12. (e31618).

    https://mhealth.jmir.org/2021/12/e31618

  • Karolus J, Brass E, Kosch T, Schmidt A and Wozniak P. Mirror, Mirror on the Wall: Exploring Ubiquitous Artifacts for Health Tracking. Proceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia. (148-157).

    https://doi.org/10.1145/3490632.3490671

  • Niess J, Woźniak P, Abdelrahman Y, ElAgroudy P, Abdrabou Y, Eckerth C, Diefenbach S and Knaving K. ‘I Don’t Need a Goal’: Attitudes and Practices in Fitness Tracking beyond WEIRD User Groups. Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction. (1-14).

    https://doi.org/10.1145/3447526.3472062

  • Moraveji N, Holt M, Hollenbach J, Murray R, White H and Crocker M. (2021). Adherence to a garment-adhered respiratory force monitor in patients with advanced COPD 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN). 10.1109/BSN51625.2021.9507013. 978-1-6654-0362-7. (1-4).

    https://ieeexplore.ieee.org/document/9507013/

  • Orstad S, Gerchow L, Patel N, Reddy M, Hernandez C, Wilson D and Jay M. (2021). Defining Valid Activity Monitor Data: A Multimethod Analysis of Weight-Loss Intervention Participants’ Barriers to Wear and First 100 Days of Physical Activity. Informatics. 10.3390/informatics8020039. 8:2. (39).

    https://www.mdpi.com/2227-9709/8/2/39

  • Cho S, Ensari I, Weng C, Kahn M and Natarajan K. (2021). Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review. JMIR mHealth and uHealth. 10.2196/20738. 9:3. (e20738).

    https://mhealth.jmir.org/2021/3/e20738

  • Jones S, Hue W, Kelly R, Barnett R, Henderson V and Sengupta R. (2021). Determinants of Longitudinal Adherence in Smartphone-Based Self-Tracking for Chronic Health Conditions. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5:1. (1-24). Online publication date: 19-Mar-2021.

    https://doi.org/10.1145/3448093

  • Schumacher L, Martinelli M, Convertino A, Forman E and Butryn M. (2020). Weight-Related Information Avoidance Prospectively Predicts Poorer Self-Monitoring and Engagement in a Behavioral Weight Loss Intervention. Annals of Behavioral Medicine. 10.1093/abm/kaaa034. 55:2. (103-111). Online publication date: 16-Mar-2021.

    https://academic.oup.com/abm/article/55/2/103/5850834

  • Sandbulte J, Tsai C and Carroll J. (2021). Family’s health: Opportunities for non-collocated intergenerational families collaboration on healthy living. International Journal of Human-Computer Studies. 10.1016/j.ijhcs.2020.102559. 146. (102559). Online publication date: 1-Feb-2021.

    https://linkinghub.elsevier.com/retrieve/pii/S1071581920301610

  • Kelly R, Jones S, Price B, Katz D, McCormick C and Pearce O. (2021). Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria. JMIR mHealth and uHealth. 10.2196/22846. 9:1. (e22846).

    http://mhealth.jmir.org/2021/1/e22846/

  • Epstein D, Eslambolchilar P, Kay J, Meyer J and Munson S. (2021). Opportunities and Challenges for Long-Term Tracking. Advances in Longitudinal HCI Research. 10.1007/978-3-030-67322-2_9. (177-206).

    https://link.springer.com/10.1007/978-3-030-67322-2_9

  • Epstein D, Caldeira C, Figueiredo M, Lu X, Silva L, Williams L, Lee J, Li Q, Ahuja S, Chen Q, Dowlatyari P, Hilby C, Sultana S, Eikey E and Chen Y. (2020). Mapping and Taking Stock of the Personal Informatics Literature. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4:4. (1-38). Online publication date: 17-Dec-2020.

    https://doi.org/10.1145/3432231

  • Hendker A, Jetzke M, Eils E and Voelcker-Rehage C. (2020). The Implication of Wearables and the Factors Affecting Their Usage among Recreationally Active People. International Journal of Environmental Research and Public Health. 10.3390/ijerph17228532. 17:22. (8532).

    https://www.mdpi.com/1660-4601/17/22/8532

  • Woźniak P, Kucharski P, de Graaf M and Niess J. Exploring Understandable Algorithms to Suggest Fitness Tracker Goals that Foster Commitment. Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. (1-12).

    https://doi.org/10.1145/3419249.3420131

  • Niess J, Knaving K, Kolb A and Woźniak P. Exploring Fitness Tracker Visualisations to Avoid Rumination. 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services. (1-11).

    https://doi.org/10.1145/3379503.3405662

  • Gasparetti F, Aiello L and Quercia D. (2020). Personalized weight loss strategies by mining activity tracker data. User Modeling and User-Adapted Interaction. 30:3. (447-476). Online publication date: 1-Jul-2020.

    https://doi.org/10.1007/s11257-019-09242-7

  • Vhaduri S and Prioleau T. Adherence to Personal Health Devices. Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare. (62-72).

    https://doi.org/10.1145/3421937.3421977

  • Meyer J, Kay J, Epstein D, Eslambolchilar P and Tang L. (2020). A Life of Data. ACM Transactions on Computing for Healthcare. 1:2. (1-4). Online publication date: 30-Apr-2020.

    https://doi.org/10.1145/3373719

  • Brickwood K, Williams A, Watson G and O’Brien J. (2020). Older adults’ experiences of using a wearable activity tracker with health professional feedback over a 12-month randomised controlled trial. DIGITAL HEALTH. 10.1177/2055207620921678. 6. Online publication date: 1-Jan-2020.

    https://journals.sagepub.com/doi/10.1177/2055207620921678

  • Lim B, Kay J and Liu W. (2019). How Does a Nation Walk?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3:2. (1-46). Online publication date: 21-Jun-2019.

    https://doi.org/10.1145/3328928

  • Jones D, Hart H, Crossley K, Ackerman I and Kemp J. (2019). What is the Agreement Between Two Generations of Commercial Accelerometer in a Free-Living Environment for Young to Middle-Aged Adults?. Journal for the Measurement of Physical Behaviour. 10.1123/jmpb.2018-0064. 2:2. (49-57). Online publication date: 1-Jun-2019.

    https://journals.humankinetics.com/doi/10.1123/jmpb.2018-0064

  • Trace C and Zhang Y. Towards a Typology of Self-Tracking Gaps. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. (1-6).

    https://doi.org/10.1145/3290607.3312867