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Analysis of Personal Data Visualisation Reviews on Mobile Health Apps

Authors:
Yasmeen Anjeer Alshehhi
Mohamed Abdelrazek
Alessio Bonti

Keywords: smartphones; mHealth tracking apps; user experience; data visualisation assessment

Abstract:
Mobile health apps give end-users tools to track and improve their health and well-being. The amount of data collected and managed by these apps grows massively over time, emphasising the need for user-friendly mobile data visualisations that make it easy for end-users to understand and make better decisions on their health and well-being. However, there are no clear guidelines or best practices for developing quality and user-friendly mobile data visualisations. App reviews offer an indirect anchor for researchers to examine how non-expert users perceive and interact with data visualisations and identify the key challenges and recommendations to develop mobile data visualisations. This paper introduces an analysis of app reviews on data visualisations reported on a data set of 217 mobile health apps on the Google Play Store. We identified 8,406 comments related to data visualisations. We then reviewed these comments and labelled them as neutral (919 comments), negative (1,557 comments) and positive (5,930 comments). We then manually clustered these comments into groups of concerning issues, including missing functionality, wrong charts, look and feel, etc. From analysing the user reviews, functional requirements turned out to be the most common problem across these app reviews, followed by the look and feel and then data problems. A complete set of data visualisations seem to be the most well-received capability of mobile health apps. We also introduce a set of mobile data visualisation guidelines based on these user reviews. We are currently working on an evaluation experiment to measure the impact of these guidelines on the quality of the produced mobile data visualisations.

Pages: 111 to 118

Copyright: Copyright (c) IARIA, 2022

Publication date: June 26, 2022

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-982-9

Location: Porto, Portugal

Dates: from June 26, 2022 to June 30, 2022