This paper is in the following e-collection/theme issue:

Usability of Apps and User Perceptions of mHealth (1080) Adoption and Change Management of eHealth Systems (796) Fitness Trackers and Smart Pedometers/Accelerometers (610) Use and User Demographics of mHealth (365) Internet Access and Digital Technology Use in an Elderly Population (274)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18312, first published .
Comparison of Older and Younger Adults’ Attitudes Toward the Adoption and Use of Activity Trackers

Comparison of Older and Younger Adults’ Attitudes Toward the Adoption and Use of Activity Trackers

Comparison of Older and Younger Adults’ Attitudes Toward the Adoption and Use of Activity Trackers

Authors of this article:

Sunyoung Kim1 Author Orcid Image ;   Abhishek Choudhury1 Author Orcid Image
Article Authors Cited by (30) Tweetations (5) Metrics

Journals

  1. Ocagli H, Lorenzoni G, Lanera C, Schiavo A, D’Angelo L, Liberti A, Besola L, Cibin G, Martinato M, Azzolina D, D’Onofrio A, Tarantini G, Gerosa G, Cabianca E, Gregori D. Monitoring Patients Reported Outcomes after Valve Replacement Using Wearable Devices: Insights on Feasibility and Capability Study: Feasibility Results. International Journal of Environmental Research and Public Health 2021;18(13):7171 View
  2. Castle C, Greasley A, Burland K. The Musical Experiences of Adults with Severe Sight Impairment: An Interpretative Phenomenological Analysis. Music & Science 2022;5 View
  3. Esber A, Teufel M, Jahre L, in der Schmitten J, Skoda E, Bäuerle A. Predictors of patients’ acceptance of video consultation in general practice during the coronavirus disease 2019 pandemic applying the unified theory of acceptance and use of technology model. DIGITAL HEALTH 2023;9 View
  4. Ma D, Orner D, Ghaly M, Parashar B, Ames J, Chen W, Potters L, Teckie S. Automated health chats for symptom management of head and neck cancer patients undergoing radiation therapy. Oral Oncology 2021;122:105551 View
  5. Yu J, de Antonio A, Villalba-Mora E. Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis. Journal of Medical Internet Research 2022;24(1):e31920 View
  6. Kim S, Yao W, Du X. Exploring Older Adults’ Adoption and Use of a Tablet Computer During COVID-19: Longitudinal Qualitative Study. JMIR Aging 2022;5(1):e32957 View
  7. Foster J, Williams K, Timmer B, Brauer S. Concurrent Validity of the Garmin Vivofit®4 to Accurately Record Step Count in Older Adults in Challenging Environments. Journal of Aging and Physical Activity 2022;30(5):833 View
  8. Sharifi H, Chattopadhyay D. Senior Technology Learning Preferences Model for Mobile Technology. Proceedings of the ACM on Human-Computer Interaction 2023;7(MHCI):1 View
  9. Weber M, Schmitt K, Frei A, Puhan M, Raab A. Needs assessment in community-dwelling older adults toward digital interventions to promote physical activity: Cross-sectional survey study. DIGITAL HEALTH 2023;9 View
  10. Pedersen K, Schlichter B. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205 View
  11. Artese A, Rawat R, Sung A. The use of commercial wrist-worn technology to track physiological outcomes in behavioral interventions. Current Opinion in Clinical Nutrition & Metabolic Care 2023;26(6):534 View
  12. Lane S, Fitzsimmons E, Zelefksy A, Klein J, Kaur S, Viswanathan S, Garg M, Feldman J, Jariwala S. Assessing Electronic Health Literacy at an Urban Academic Hospital. Applied Clinical Informatics 2023;14(02):365 View
  13. Colombo S, Ciliotta E, Marengo L, Liu H, Molino P, Ciuccarelli P. Design for Emergency: How Digital Technologies Enabled an Open Design Platform to Respond to COVID-19. Interacting with Computers 2023;35(5):650 View
  14. van Acker J, Maenhout L, Compernolle S, Albert S. Older Adults’ User Engagement With Mobile Health: A Systematic Review of Qualitative and Mixed-Methods Studies. Innovation in Aging 2023;7(2) View
  15. Velykoivanenko L, Niksirat K, Zufferey N, Humbert M, Huguenin K, Cherubini M. Are Those Steps Worth Your Privacy?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(4):1 View
  16. Salehzadeh Niksirat K, Velykoivanenko L, Zufferey N, Cherubini M, Huguenin K, Humbert M. Wearable Activity Trackers: A Survey on Utility, Privacy, and Security. ACM Computing Surveys 2024;56(7):1 View
  17. Gerber S, Silver R, Das S, Greene S, Dix S, Ramirez I, Morcos C, Dao M, Ceglia L, Roberts S. Development and Feasibility of an eHealth Diabetes Prevention Program Adapted for Older Adults—Results from a Randomized Control Pilot Study. Nutrients 2024;16(7):930 View
  18. Tan H, Neo L, Chen X, Ahmad N, Low R, Loong K. Are we Ready for Telehealth? A Latent Profile Analysis of Telehealth Receptiveness, Personality Traits and Socio-Demographics. Journal of Technology in Behavioral Science 2024;10(1):148 View
  19. Feng H, Niwa M, Cao J, Kurata K, Zhang S, Lim Y, Kim T, Guo X, Kageyama I, Kodama K. Promoting the social implementation of digital and mobile health: effects of regulation on user and non-user behavior in East Asia. Drug Discovery Today 2024;29(10):104136 View
  20. Swain T, McNarry M, Mackintosh K. Assessing and Enhancing Movement Quality Using Wearables and Consumer Technologies: Thematic Analysis of Expert Perspectives. JMIR Formative Research 2024;8:e56784 View
  21. Zeng K, Dong L, Xu Y, Zheng X. Exploring observed and instructed mHealth use in the middle-aged and elderly people (MAEP): A social learning perspective. DIGITAL HEALTH 2024;10 View
  22. Ding H, Gifford K, Shih L, Ho K, Rahman S, Igwe A, Low S, Popp Z, Searls E, Li Z, Madan S, Burk A, Hwang P, Anda-Duran I, Kolachalama V, Au R, Lin H. Exploring the Perspectives of Older Adults on a Digital Brain Health Platform Using Natural Language Processing: Cohort Study. JMIR Formative Research 2024;8:e60453 View
  23. Gallagher V, Reilly S, Martin D, Manning C, Shaffer K. Examining Differences in Health-Related Technology Use between Millennial and Older Generations of Caregivers. Nursing Reports 2024;14(4):2605 View
  24. Rahemtulla Z, Wickenden R, Hughes-Riley T. Using a human centred design approach to develop a fall detection sock for older women. Design for Health 2024;8(3):318 View
  25. Stuijt D, Kos M, Dingemans I, Richel C, Bosch J, van Oijen M. Perspectives, willingness, and current use of mobile health (mHealth) by patients with cancer for remote monitoring during cancer treatment: a Dutch national cross-sectional survey. ESMO Real World Data and Digital Oncology 2025;7:100115 View
  26. Cammarata M, Sangrar R, Harris J, Tang A, Vrkljan B. Investigating the usability of mobile technology for driving rehabilitation post-stroke: a mixed-methods analysis. Disability and Rehabilitation: Assistive Technology 2025:1 View

Books/Policy Documents

  1. Garcia-Constantino M, Konios A, Lopez-Nava I, Pouliet P, Ekerete I, Mustafa M, Nugent C, Morrison G. Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). View

Conference Proceedings

  1. Altamirano-Flores Y, Konios A, Lopez-Nava I, Garcia-Constantino M, Ekerete I, Mustafa M. 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). Analysis of Accelerometer Data for Personalised Mood Detection in Activities of Daily Living View
  2. Batbold T, Soro A, Schroeter R. Proceedings of the CHI Conference on Human Factors in Computing Systems. Mentorable Interfaces for Automated Vehicles: A New Paradigm for Designing Learnable Technology for Older Adults View
  3. Sharifi H, Shomee H, Medya S, Chattopadhyay D. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. How Older Adults Communicate their Technology Problems: Challenges and Design Opportunities View