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

Formative Evaluation of Digital Health Interventions (3229) Internet Access and Digital Technology Use in an Elderly Population (329) Design and Formative Evaluation of Mobile Apps (809) Usability of Apps and User Perceptions of mHealth (1188) Ethics, Privacy, and Legal Issues (617) Human Factors and Usability Case Studies (1005)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37329, first published .
Evaluating Mobile Apps Targeting Older Adults: Descriptive Study

Evaluating Mobile Apps Targeting Older Adults: Descriptive Study

Evaluating Mobile Apps Targeting Older Adults: Descriptive Study

Authors of this article:

Megan Sweeney1 Author Orcid Image ;   William Barton2 Author Orcid Image ;   Camille Nebeker1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Liu M, Wu X, Li Z, Tan D, Huang C. Assessment of Eye Care Apps for Children and Adolescents Based on the Mobile App Rating Scale: Content Analysis and Quality Assessment. JMIR mHealth and uHealth 2024;12:e53805 View
  2. Gutiérrez M, Cabello V, SanMartín C, Mauro J, Musa G, Torres M, San Martin M, Márquez C, Beltrán R, Rogers N, Salech F, Ponce D, Ampuero C, Varas P, Gamboa-Labbé B, Cortés V, Vega C, Ruiz R, Velásquez J, Vergara R, Behrens M, More J, Delgado Derio C. An mHealth App (NeoMayor) to Promote Healthy Lifestyles and Brain Health in Older Adults: Design and Validation Study. JMIR Aging 2025;8:e71936 View

Conference Proceedings

  1. Alfie N, Sidi J, Junaini S, Chai W, Mit E, Gedat R. 2023 6th International Conference on Applied Computational Intelligence in Information Systems (ACIIS). Bridging the Digital Gap: A Systematic Review on UI/UX Design Considerations for Elderly-friendly Digital Wallets View
  2. Kango R, Qureshi M, Keung W, Qureshi U, Umair Z, Kam H. 2024 8th Cyber Security in Networking Conference (CSNet). Predicting User Activities and Device Interactions Using Adversarial Sensor Data: A Machine Learning Approach View