Too Much Accessibility is Harmful! Automated Detection and Analysis of Overly Accessible Elements in Mobile Apps

Mehralian, Forough; Salehnamadi, Navid; Huq, Syed Fatiul; Malek, Sam

doi:10.1145/3551349.3560424

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering 2022

DOI: 10.1145/3551349.3560424

|View full text |Cite

Too Much Accessibility is Harmful! Automated Detection and Analysis of Overly Accessible Elements in Mobile Apps

Forough Mehralian

Navid Salehnamadi

Syed Fatiul Huq

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2024

Publication Types

Select...

Other5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 6 publications

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

AGAA: An Android GUI Accessibility Adapter for Low Vision Users

Liu

et al. 2023

2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Too Much Accessibility is Harmful! Automated Detection and Analysis of Overly Accessible Elements in Mobile Apps

Cited by 6 publications

References 17 publications

AGAA: An Android GUI Accessibility Adapter for Low Vision Users

AGAA: An Android GUI Accessibility Adapter for Low Vision Users

Assistive-Technology Aided Manual Accessibility Testing in Mobile Apps, Powered by Record-and-Replay

Groundhog: An Automated Accessibility Crawler for Mobile Apps

Contact Info

Product

Resources

About