Analysis of an ehealth app: Privacy, security and usability

6Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.

Abstract

Obesity and overweight are considered a health threat globally. Saudi Arabia is a country that has a high percentage of people suffering from obesity. These people can be helped to lose weight through the usage of mobile apps as these apps can collect users' personal information. These collected data is used to provide precise and personalized weight loss advices. However, weight loss apps must be user friendly, provide data security and user privacy protection. In this paper, we analyze the usability, security, and privacy of a weight loss app. Our main aim to clarify the data privacy and security procedure and test the usability level of the new Arabic weight loss app 'Akser Waznk' that is developed considering the social and cultural norms of Saudi users.

References Powered by Scopus

Behavior change techniques in top-ranked mobile apps for physical activity

347Citations
N/AReaders
Get full text

New ISO standards for usability, usability reports and usability measures

152Citations
N/AReaders
Get full text

Clustering-Driven Intelligent Trust Management Methodology for the Internet of Things (CITM-IoT)

94Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications

12Citations
N/AReaders
Get full text

A Proposed Application for Controlling Overweight and Obesity within the Framework of the Internet of Things

7Citations
N/AReaders
Get full text

Research Onion for Smart IoT-Enabled Mobile Applications

5Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Alturki, R., AlGhamdi, M. J., Gay, V., Awan, N., Kundi, M., & Alshehri, M. (2020). Analysis of an ehealth app: Privacy, security and usability. International Journal of Advanced Computer Science and Applications, 11(4), 209–214. https://doi.org/10.14569/IJACSA.2020.0110428

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

60%

Lecturer / Post doc 2

20%

Researcher 2

20%

Readers' Discipline

Tooltip

Computer Science 6

60%

Engineering 2

20%

Sports and Recreations 1

10%

Agricultural and Biological Sciences 1

10%

Save time finding and organizing research with Mendeley

Sign up for free