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

Usability of Apps and User Perceptions of mHealth (902) Adoption and Change Management of eHealth Systems (677) Fitness Trackers and Smart Pedometers/Accelerometers (543) Use and User Demographics of mHealth (313) Internet Access and Digital Technology Use in an Elderly Population (180)

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 (21) Tweetations (7) 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;5:205920432210832 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;9:205520762211493 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 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