“An Ad Posing as Medical Advice”: User Accounts of Dark UX in FemTech mHealth Apps MHCI003

FemTech is an emerging industry offering products, software, and services to support women’s health and well-being. Within FemTech, mobile health applications (mHealth apps) are popular for managing menstruation, fertility, pregnancy, and menopause. Yet, these apps expose users to deceptive and misleading practices, which can be characterized as Dark Patterns in user experience (or dark UX). Dark UX in commercial FemTech mHealth apps is underexplored, leaving a critical gap in understanding how deceptive patterns manifest in intimate health contexts, the harms they cause, and how to address them. We crowd-source and thematically analyze user accounts of dark UX through user reviews from sixteen systematically selected FemTech mHealth apps. User-reported accounts of dark UX in FemTech mHealth apps reveal several problematic design patterns, which emphasize risks for minors and the need for more transparent design of FemTech mHealth apps. Based on our results, we outline recommendations for enhancing ethical UX design and furthering regulatory action in FemTech.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-09-09
DOI
https://doi.org/10.1145/3743736
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“An Ad Posing as Medical Advice”: User Accounts of Dark UX in FemTech mHealth Apps MHCI003

Ghada Alsebayel, Giovanni Maria Troiano, Casper Harteveld, Herman Saksono et al.
1 links
Proceedings of the ACM on Human-Computer Interaction
Innovative Human-Technology Interaction
article

“An Ad Posing as Medical Advice”: User Accounts of Dark UX in FemTech mHealth Apps MHCI003

Ghada Alsebayel, Giovanni Maria Troiano, Casper Harteveld, Herman Saksono, Johanna Gunawan
article en

Abstract

FemTech is an emerging industry offering products, software, and services to support women’s health and well-being. Within FemTech, mobile health applications (mHealth apps) are popular for managing menstruation, fertility, pregnancy, and menopause. Yet, these apps expose users to deceptive and misleading practices, which can be characterized as Dark Patterns in user experience (or dark UX). Dark UX in commercial FemTech mHealth apps is underexplored, leaving a critical gap in understanding how deceptive patterns manifest in intimate health contexts, the harms they cause, and how to address them. We crowd-source and thematically analyze user accounts of dark UX through user reviews from sixteen systematically selected FemTech mHealth apps. User-reported accounts of dark UX in FemTech mHealth apps reveal several problematic design patterns, which emphasize risks for minors and the need for more transparent design of FemTech mHealth apps. Based on our results, we outline recommendations for enhancing ethical UX design and furthering regulatory action in FemTech.

Proceedings of the ACM on Human-Computer InteractionVol. 9(5)
Northeastern University (US), Maastricht University (NL), Media Design School (NZ), Engineering Arts (United States) (US), Labouré College (US), Digital Media Arts College (US), Universidad del Noreste (MX), Tetra Tech (United States) (US)
Openalex Percentile: Top 76%
Innovative Human-Technology Interaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

“An Ad Posing as Medical Advice”: User Accounts of Dark UX in FemTech mHealth Apps MHCI003 — Ghada Alsebayel, Giovanni Maria Troiano, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS