Cargando…

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

BACKGROUND: On many websites and mobile apps for personal health data collection and management, there are security features and privacy policies available for users. Users sometimes are given an opportunity to make selections in a security setting page; however, it is challenging to make informed s...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Leming, Parmanto, Bambang, Alfikri, Zakiy, Bao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305877/
https://www.ncbi.nlm.nih.gov/pubmed/30538088
http://dx.doi.org/10.2196/11210
_version_ 1783382664639676416
author Zhou, Leming
Parmanto, Bambang
Alfikri, Zakiy
Bao, Jie
author_facet Zhou, Leming
Parmanto, Bambang
Alfikri, Zakiy
Bao, Jie
author_sort Zhou, Leming
collection PubMed
description BACKGROUND: On many websites and mobile apps for personal health data collection and management, there are security features and privacy policies available for users. Users sometimes are given an opportunity to make selections in a security setting page; however, it is challenging to make informed selections in these settings for users who do not have much education in information security as they may not precisely know the meaning of certain terms mentioned in the privacy policy or understand the consequences of their selections in the security and privacy settings. OBJECTIVE: The aim of this study was to demonstrate several commonly used security features such as encryption, user authentication, and access control in a mobile app and to determine whether this brief security education is effective in encouraging users to choose stronger security measures to protect their personal health data. METHODS: A mobile app named SecSim (Security Simulator) was created to demonstrate the consequences of choosing different options in security settings. A group of study participants was recruited to conduct the study. These participants were asked to make selections in the security settings before and after they viewed the consequences of security features. At the end of the study, a brief interview was conducted to determine the reason for their selections in the security settings. Their selections before and after the security education were compared in order to determine the effectiveness of the security education. The usability of the app was also evaluated. RESULTS: In total, 66 participants finished the study and provided their answers in the app and during a brief interview. The comparison between the pre- and postsecurity education selection in security settings indicated that 21% (14/66) to 32% (21/66) participants chose a stronger security measure in text encryption, access control, and image encryption; 0% (0/66) to 2% (1/66) participants chose a weaker measure in these 3 security features; and the remainder kept their original selections. Several demographic characteristics such as marital status, years of experience using mobile devices, income, employment, and health status showed an impact on the setting changes. The usability of the app was good. CONCLUSIONS: 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.
format Online
Article
Text
id pubmed-6305877
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-63058772019-01-16 A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study Zhou, Leming Parmanto, Bambang Alfikri, Zakiy Bao, Jie JMIR Mhealth Uhealth Original Paper BACKGROUND: On many websites and mobile apps for personal health data collection and management, there are security features and privacy policies available for users. Users sometimes are given an opportunity to make selections in a security setting page; however, it is challenging to make informed selections in these settings for users who do not have much education in information security as they may not precisely know the meaning of certain terms mentioned in the privacy policy or understand the consequences of their selections in the security and privacy settings. OBJECTIVE: The aim of this study was to demonstrate several commonly used security features such as encryption, user authentication, and access control in a mobile app and to determine whether this brief security education is effective in encouraging users to choose stronger security measures to protect their personal health data. METHODS: A mobile app named SecSim (Security Simulator) was created to demonstrate the consequences of choosing different options in security settings. A group of study participants was recruited to conduct the study. These participants were asked to make selections in the security settings before and after they viewed the consequences of security features. At the end of the study, a brief interview was conducted to determine the reason for their selections in the security settings. Their selections before and after the security education were compared in order to determine the effectiveness of the security education. The usability of the app was also evaluated. RESULTS: In total, 66 participants finished the study and provided their answers in the app and during a brief interview. The comparison between the pre- and postsecurity education selection in security settings indicated that 21% (14/66) to 32% (21/66) participants chose a stronger security measure in text encryption, access control, and image encryption; 0% (0/66) to 2% (1/66) participants chose a weaker measure in these 3 security features; and the remainder kept their original selections. Several demographic characteristics such as marital status, years of experience using mobile devices, income, employment, and health status showed an impact on the setting changes. The usability of the app was good. CONCLUSIONS: 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. JMIR Publications 2018-12-11 /pmc/articles/PMC6305877/ /pubmed/30538088 http://dx.doi.org/10.2196/11210 Text en ©Leming Zhou, Bambang Parmanto, Zakiy Alfikri, Jie Bao. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 11.12.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Zhou, Leming
Parmanto, Bambang
Alfikri, Zakiy
Bao, Jie
A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study
title A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study
title_full A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study
title_fullStr A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study
title_full_unstemmed A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study
title_short A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study
title_sort mobile app for assisting users to make informed selections in security settings for protecting personal health data: development and feasibility study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305877/
https://www.ncbi.nlm.nih.gov/pubmed/30538088
http://dx.doi.org/10.2196/11210
work_keys_str_mv AT zhouleming amobileappforassistinguserstomakeinformedselectionsinsecuritysettingsforprotectingpersonalhealthdatadevelopmentandfeasibilitystudy
AT parmantobambang amobileappforassistinguserstomakeinformedselectionsinsecuritysettingsforprotectingpersonalhealthdatadevelopmentandfeasibilitystudy
AT alfikrizakiy amobileappforassistinguserstomakeinformedselectionsinsecuritysettingsforprotectingpersonalhealthdatadevelopmentandfeasibilitystudy
AT baojie amobileappforassistinguserstomakeinformedselectionsinsecuritysettingsforprotectingpersonalhealthdatadevelopmentandfeasibilitystudy
AT zhouleming mobileappforassistinguserstomakeinformedselectionsinsecuritysettingsforprotectingpersonalhealthdatadevelopmentandfeasibilitystudy
AT parmantobambang mobileappforassistinguserstomakeinformedselectionsinsecuritysettingsforprotectingpersonalhealthdatadevelopmentandfeasibilitystudy
AT alfikrizakiy mobileappforassistinguserstomakeinformedselectionsinsecuritysettingsforprotectingpersonalhealthdatadevelopmentandfeasibilitystudy
AT baojie mobileappforassistinguserstomakeinformedselectionsinsecuritysettingsforprotectingpersonalhealthdatadevelopmentandfeasibilitystudy