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A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study.

Leming ZhouBambang ParmantoZakiy AlfikriJie Bao
Published in: JMIR mHealth and uHealth (2018)
The study results indicate that a significant percentage of users (21%-32%) need guidance to make informed selection in security settings. If websites and mobile apps can provide embedded security education for users to understand the consequences of their security feature selection and the meaning of commonly used security features, it may help users to make the best choices in terms of security settings. Our mobile app, SecSim, offers a unique approach for mobile app users to understand commonly used security features. This app may be incorporated into other apps or be used before users make selections in their security settings.
Keyphrases
  • global health
  • public health
  • healthcare
  • deep learning
  • big data