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Research Article | Open Access |

Privacy, Security and Usability for IoT-enabled Weight Loss Apps

Author 1: Ryan Alturki Author 2: Valerie Gay Author 3: Nabeela Awan Author 4: Mohammad Alshehri Author 5: Mohammed J. AlGhamdi Author 6: Ateeq ur Rehman
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 4 · Published 2020 · Cited by 8

DOI: https://doi.org/10.14569/IJACSA.2020.0110435

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Abstract

Obesity is considered as the main health issue worldwide. The obesity rate within Saudi’s citizens is rising alarmingly. The Internet of Things (IoT)-enabled mobile apps can assist obese Saudi users in losing weight via collecting sensitive personal information and then providing accurate and personalized weight loss advice. These data can be collected using embedded IoT devices in a smartphone. However, these IoT-enabled apps should be usable and able to provide data security and user privacy protection. This paper aims to continue our usability study for two Arabic weight loss IoT-enabled apps by performing a qualitative analysis for them. It discusses users’ and health professionals’ feedbacks, concerns and suggestions. Based on the analysis, a comprehensive usability guideline for developing a new Arabic weight loss IoT-enabled app for obese Saudi users is provided.

Keywords

Internet of things obesity usability data security privacy app

How to Cite this Article

Alturki, R., Gay, V., Awan, N., Alshehri, M., AlGhamdi, M. J., & Rehman, A. u. (2020). Privacy, Security and Usability for IoT-enabled Weight Loss Apps. International Journal of Advanced Computer Science and Applications, 11(4). https://doi.org/10.14569/IJACSA.2020.0110435

Alturki, Ryan, et al.. "Privacy, Security and Usability for IoT-enabled Weight Loss Apps." International Journal of Advanced Computer Science and Applications, vol. 11, no. 4, 2020, https://doi.org/10.14569/IJACSA.2020.0110435.

@article{Alturki2020,
  title     = {Privacy, Security and Usability for IoT-enabled Weight Loss Apps},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {4},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Ryan Alturki and Valerie Gay and Nabeela Awan and Mohammad Alshehri and Mohammed J. AlGhamdi and Ateeq ur Rehman},
  doi       = {10.14569/IJACSA.2020.0110435},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110435}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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