Invisible, Unreadable, and Inaudible Cookie Notices: An Evaluation of Cookie Notices for Users with Visual Impairments
August 16, 2023 Β· Declared Dead Β· π ACM Transactions on Accessible Computing
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
James M. Clarke, Maryam Mehrnezhad, Ehsan Toreini
arXiv ID
2308.11643
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CR
Citations
5
Venue
ACM Transactions on Accessible Computing
Last Checked
4 months ago
Abstract
This paper investigates the accessibility of cookie notices on websites for users with visual impairments (VI) via a set of system studies on top UK websites (n=46) and a user study (n=100). We use a set of methods and tools--including accessibility testing tools, text-only browsers, and screen readers, to perform our system studies. Our results demonstrate that the majority of cookie notices on these websites have some form of accessibility issues including contrast issues, not having headings, and not being read aloud immediately when the page is loaded. We discuss how such practises impact the user experience and privacy and provide a set of recommendations for multiple stakeholders for more accessible websites and better privacy practises for users with VIs. To complement our technical contribution we conduct a user study and finding that people with VIs generally have a negative view of cookie notices and believe our recommendations could help their online experience. We also find a disparity in how users wish to respond to cookie notices as apposed to how they do in reality.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted