TY - JOUR
T1 - Detecting user experience issues from mHealth apps that support stroke caregiver needs
T2 - an analysis of user reviews
AU - Lobo, Elton H.
AU - Abdelrazek, Mohamed
AU - Frølich, Anne
AU - Rasmussen, Lene J.
AU - Livingston, Patricia M.
AU - Islam, Sheikh Mohammed Shariful
AU - Kensing, Finn
AU - Grundy, John
N1 - Publisher Copyright:
Copyright © 2023 Lobo, Abdelrazek, Frølich, Rasmussen, Livingston, Islam, Kensing and Grundy.
PY - 2023
Y1 - 2023
N2 - Background: Existing research has demonstrated the potential of mHealth apps in improving the caregiving outcomes of stroke. Since most of the apps were published in commercially available app stores without explaining their design and evaluation processes, it is necessary to identify the user experience issues to promote long-term adherence and usage. Objective: The purpose of this study was to utilize published user reviews of commercially available apps to determine the user experience issues to guide future app development in stroke caregiving. Methods: User reviews were extracted from the previously identified 46 apps that support stroke caregiving needs using a python-scraper. The reviews were pre-processed and filtered using python scripts to consider English reviews that described issues faced by the user. The final corpus was categorized based on TF-IDF vectorization and k-means clustering technique, and the issues extracted from the various topics were classified based on the seven dimensions of user experience to highlight factors that may affect the usage of the app. Results: A total of 117,364 were extracted from the two app stores. After filtration, 13,368 reviews were included and classified based on the user experience dimensions. Findings highlight critical issues that affect the usability, usefulness, desirability, findability, accessibility, credibility, and value of the app that contribute to decreased satisfaction and increased frustration. Conclusion: The study identified several user experience issues due to the inability of the app developers to understand the needs of the user. Further, the study describes the inclusion of a participatory design approach to promote an improved understanding of user needs; therefore, limiting any issues and ensuring continued use.
AB - Background: Existing research has demonstrated the potential of mHealth apps in improving the caregiving outcomes of stroke. Since most of the apps were published in commercially available app stores without explaining their design and evaluation processes, it is necessary to identify the user experience issues to promote long-term adherence and usage. Objective: The purpose of this study was to utilize published user reviews of commercially available apps to determine the user experience issues to guide future app development in stroke caregiving. Methods: User reviews were extracted from the previously identified 46 apps that support stroke caregiving needs using a python-scraper. The reviews were pre-processed and filtered using python scripts to consider English reviews that described issues faced by the user. The final corpus was categorized based on TF-IDF vectorization and k-means clustering technique, and the issues extracted from the various topics were classified based on the seven dimensions of user experience to highlight factors that may affect the usage of the app. Results: A total of 117,364 were extracted from the two app stores. After filtration, 13,368 reviews were included and classified based on the user experience dimensions. Findings highlight critical issues that affect the usability, usefulness, desirability, findability, accessibility, credibility, and value of the app that contribute to decreased satisfaction and increased frustration. Conclusion: The study identified several user experience issues due to the inability of the app developers to understand the needs of the user. Further, the study describes the inclusion of a participatory design approach to promote an improved understanding of user needs; therefore, limiting any issues and ensuring continued use.
KW - APP
KW - caregiver
KW - design
KW - mHealth
KW - needs
KW - stroke
KW - user experience
U2 - 10.3389/fpubh.2023.1027667
DO - 10.3389/fpubh.2023.1027667
M3 - Journal article
C2 - 37304084
AN - SCOPUS:85161387129
VL - 11
JO - Frontiers in Public Health
JF - Frontiers in Public Health
SN - 2296-2565
M1 - 1027667
ER -