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

5 papers

cs.HC2026

Situated Practice Systems: A Computational System for Supporting the Coaching and Practice of Regulation Skills for Innovation Work

Kapil Garg, Darren Gergle, Haoqi Zhang

Students are increasingly expected to prepare for open-ended innovation work, which requires well-developed cognitive, metacognitive, and emotional regulation skills. College learn…

cs.SE2026

Linguistic Similarity Within Centralized FLOSS Development

Matthew Gaughan, Aaron Shaw, Darren Gergle

When free/libre and open source software (FLOSS) stewards centralize project development, they potentially undermine project sustainability and impact how contributors talk to each…

cs.HC2025

The Agony of Opacity: Foundations for Reflective Interpretability in AI-Mediated Mental Health Support

Sachin R. Pendse, Darren Gergle, Rachel Kornfield +6

Throughout history, a prevailing paradigm in mental healthcare has been one in which distressed people may receive treatment with little understanding around how their experience i…

cs.HC2025★ 2 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.CY2025

When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines

Sachin R. Pendse, Darren Gergle, Rachel Kornfield +6

Red-teaming is a core part of the infrastructure that ensures that AI models do not produce harmful content. Unlike past technologies, the black box nature of generative AI systems…