We designed and deployed automatic alt-text (AAT), a system that applies computer vision
technology to identify faces, objects, and themes from photos to generate photo alt-text for …

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 …

Research advancements allow computational systems to automatically caption social media
images. Often, these captions are evaluated with sighted humans using the image as a …

In this paper, we explore blind people's motivations, challenges, interactions, and
experiences with visual content on Social Networking Services (SNSs). We present findings …

The challenges faced by blind people in their everyday lives are not well understood. In this
paper, we report on the findings of a large-scale study of the visual questions that blind …

Alt text (short for" alternative text") is descriptive text associated with an image in HTML and
other document formats. Screen reader technologies speak the alt text aloud to people who …

In this paper, we present the first formal study of how mothers of young children (aged three
and under) use social networking sites, particularly Facebook and Twitter, including mothers' …

Collaborative writing tools have become ubiquitous in today's world and are used widely in
many professional organizations and academic settings. Yet, we know little about how ability …

We introduce the first visual privacy dataset originating from people who are blind in order to
better understand their privacy disclosures and to encourage the development of algorithms …

We present the first formal study of crowdworkers who have disabilities via in-depth open-
ended interviews of 17 people (disabled crowdworkers and job coaches for people with …