Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
AI technologies are often used to aid people in performing discrete tasks with well-defined
goals (eg, recognising faces in images). Emerging technologies that provide continuous …
goals (eg, recognising faces in images). Emerging technologies that provide continuous …
A face recognition application for people with visual impairments: Understanding use beyond the lab
Recognizing others is a major challenge for people with visual impairments (VIPs) and can
hinder engagement in social activities. We present Accessibility Bot, a research prototype …
hinder engagement in social activities. We present Accessibility Bot, a research prototype …
Progressive tree-structured prototype network for end-to-end image captioning
Studies of image captioning are shifting towards a trend of a fully end-to-end paradigm by
leveraging powerful visual pre-trained models and transformer-based generation …
leveraging powerful visual pre-trained models and transformer-based generation …
Computer vision and conflicting values: Describing people with automated alt text
Scholars have recently drawn attention to a range of controversial issues posed by the use
of computer vision for automatically generating descriptions of people in images. Despite …
of computer vision for automatically generating descriptions of people in images. Despite …
Understanding emerging obfuscation technologies in visual description services for blind and low vision people
Blind and low vision people use visual description services (VDS) to gain visual
interpretation and build access in a world that privileges sight. Despite their many benefits …
interpretation and build access in a world that privileges sight. Despite their many benefits …
Disability-first design and creation of a dataset showing private visual information collected with people who are blind
We present the design and creation of a disability-first dataset,“BIV-Priv,” which contains 728
images and 728 videos of 14 private categories captured by 26 blind participants to support …
images and 728 videos of 14 private categories captured by 26 blind participants to support …
An accurate generation of image captions for blind people using extended convolutional atom neural network
T Tiwary, RP Mahapatra - Multimedia Tools and Applications, 2023 - Springer
Recently, the progress on image understanding and AIC (Automatic Image Captioning) has
attracted lots of researchers to make use of AI (Artificial Intelligence) models to assist the …
attracted lots of researchers to make use of AI (Artificial Intelligence) models to assist the …
Prompt-based learning for unpaired image captioning
Unpaired Image Captioning (UIC) has been developed to learn image descriptions from
unaligned vision-language sample pairs. Existing works usually tackle this task using …
unaligned vision-language sample pairs. Existing works usually tackle this task using …
A dataset of alt texts from HCI publications: Analyses and uses towards producing more descriptive alt texts of data visualizations in scientific papers
Figures in scientific publications contain important information and results, and alt text is
needed for blind and low vision readers to engage with their content. We conduct a study to …
needed for blind and low vision readers to engage with their content. We conduct a study to …
The effect of computer-generated descriptions on photo-sharing experiences of people with visual impairments
Like sighted people, visually impaired people want to share photographs on social
networking services, but find it difficult to identify and select photos from their albums. We …
networking services, but find it difficult to identify and select photos from their albums. We …