Abstract
FemTech applications are mobile applications designed to promote women's health and wellness. They have gained increasing attention with a growing market share in the digital health industry. However, most of the existing products seem to be digital health apps with pink-themed design, but not oriented to female users or female-specific illnesses. To improve the understanding of FemTech apps, this study aims to explore the different types of affordances appearing in FemTech apps, through an analysis of user reviews of fertility and pregnancy apps. We applied topic modelling analysis on the data collected and extracted three types of affordances: instrumental, experiential, and empowerment. Our findings suggest that FemTech designers can consider these affordances to meet female users' expectations better and improve their experience. Furthermore, our study sheds light on the potential of FemTech in promoting female empowerment, which could inspire future research in this field.
Recommended Citation
Guo, Mingyue; Liu, Na; and Prester, Julian, "Exploring FemTech Affordances: A Computational Analysis of Fertility and Pregnancy Apps" (2023). PACIS 2023 Proceedings. 97.
https://aisel.aisnet.org/pacis2023/97
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
Paper Number 1419; Track Healthcare; Short Paper