Many accessibility features available on mobile platforms require applications (apps) to
provide complete and accurate metadata describing user interface (UI) components …

Content creators are instructed to write textual descriptions of visual content to make it
accessible; yet existing guidelines lack specifics on how to write about people's appearance …

Technologies for blind and low-vision (BLV) people have long been a focus of Human-
Computer Interaction (HCI) and accessibility (ASSETS) research. To map and assess this …

Affirmative consent is the idea that someone must ask for, and earn, enthusiastic approval
before interacting with someone else. For decades, feminist activists and scholars have …

Image descriptions are how people who are blind or have low vision (BLV) access
information depicted within images. To our knowledge, no prior work has examined how a …

Online data visualizations play an important role in informing public opinion but are often
inaccessible to screen reader users. To address the need for accessible data …

Data scientists require rich mental models of how AI systems behave to effectively train,
debug, and work with them. Despite the prevalence of AI analysis tools, there is no general …

Blind users rely on alternative text (alt-text) to understand an image; however, alt-text is often
missing. AI-generated captions are a more scalable alternative, but they often miss crucial …

We establish THumB, a rubric-based human evaluation protocol for image captioning
models. Our scoring rubrics and their definitions are carefully developed based on machine …

Despite recent improvements in online accessibility, the Internet remains an inhospitable
place for users with photosensitive epilepsy, a chronic condition in which certain light stimuli …