most cited"It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models

2 citations · 2 across the 3 of their papers we have counts for

collaborators

7 papers

cs.HC2026

Designing for Collective Access: In Search of a Solution to Accessible Communication in a Mixed-Ability Non-Profit

Xinru Tang, Anne Marie Piper

As mixed-ability collaboration has become increasingly focal within accessibility research, managing varied, and sometimes conflicting, access needs has become a key consideration…

cs.HC2026

Cripping AI: Reimagining AI Through Lived Disability Experiences

Xinru Tang, Ting-an Lin, Jingjin Li +1

Drawing on crip theory, this paper proposes cripping AI as a guiding framework to center lived disability experiences in AI research and development. Moving beyond calls to make AI…

cs.HC20262 cited

"It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models

Kapil Garg, Xinru Tang, Jimin Heo +4

Vision-Language Models (VLMs) are increasingly used by blind and low-vision (BLV) people to identify and understand products in their everyday lives, such as food, personal care it…

cs.HC2026

Access in the Shadow of Ableism: An Autoethnography of a Blind Student's Higher Education Experience in China

Weijun Zhang, Xinru Tang

The HCI research community has witnessed a growing body of research on accessibility and disability driven by efforts to improve access. Yet, the concept of access reveals its limi…

cs.HC2026

Disability-First AI Dataset Annotation: Co-designing Stuttered Speech Annotation Guidelines with People Who Stutter

Xinru Tang, Jingjin Li, Shaomei Wu

Despite efforts to increase the representation of disabled people in AI datasets, accessibility datasets are often annotated by crowdworkers without disability-specific expertise,…

cs.HC2026

Reimagining Sign Language Technologies: Analyzing Translation Work of Chinese Deaf Online Content Creators

Xinru Tang, Anne Marie Piper

While sign language translation systems promise to enhance deaf people's access to information and communication, they have been met with strong skepticism from deaf communities du…