DOI

Healthcare mobile apps are becoming a reality for users interested in keeping their daily activities under control. In the last years, several researchers have investigated the effect of healthcare mobile apps on the life of their users as well as the positive/negative impact they have on the quality of life. Nonetheless, it remains still unclear how users approach and interact with the developers of those apps. Understanding whether healthcare mobile app users request different features with respect to other applications is important to estimate the alignment between the development process of healthcare apps and the requests of their users. In this study, we perform an empirical analysis aimed at (i) classifying the user reviews of healthcare open-source apps and (ii) analyzing the sentiment with which users write down user reviews of those apps.
In doing so, we define a manual process that enables the creation of an extended taxonomy of healthcare users’ requests. The results of our study show that users of healthcare apps are more likely to request new features and support for other hardware than users of different types of apps. Moreover, they tend to be less critical of the defects of the application and better support developers when debugging.
Original languageEnglish
Title of host publicationWAMA 2019
Subtitle of host publicationProceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages33-39
Number of pages7
ISBN (Print)978-1-4503-6858-2
DOIs
Publication statusPublished - 2019
EventWAMA 2019: The 3rd ACM SIGSOFT International Workshop on App Market Analytics - Talinn, Estonia
Duration: 27 Aug 201927 Aug 2019

Workshop

WorkshopWAMA 2019
CountryEstonia
CityTalinn
Period27/08/1927/08/19

    Research areas

  • Mobile Applications, Healthcare, Software Engineering

ID: 56065806