25 citations · 46 across the 7 of their papers we have counts for
5 papers · 1 filter
Creation, Critique, and Consumption: Exploring Generative AI Descriptions for Supporting Blind and Low Vision Professionals with Visual Tasks
Lucy Jiang, Lotus Zhang, Leah Findlater
Many blind and low vision (BLV) people are excluded from professional roles that may involve visual tasks due to access barriers and persisting stigmas. Advancing generative AI sys…
"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People
Tanusree Sharma, Yu-Yun Tseng, Lotus Zhang +5
Blind and low vision (BLV) individuals use Generative AI (GenAI) tools to interpret and manage visual content in their daily lives. While such tools can enhance the accessibility o…
Towards AI-driven Sign Language Generation with Non-manual Markers
Han Zhang, Rotem Shalev-Arkushin, Vasileios Baltatzis +7
Sign languages are essential for the Deaf and Hard-of-Hearing (DHH) community. Sign language generation systems have the potential to support communication by translating from writ…
eaSEL: Promoting Social-Emotional Learning and Parent-Child Interaction through AI-Mediated Content Consumption
Jocelyn Shen, Jennifer King Chen, Leah Findlater +1
As children increasingly consume media on devices, parents look for ways this usage can support learning and growth, especially in domains like social-emotional learning. We introd…
ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading
Griffin Dietz Smith, Siddhartha Prasad, Matt J. Davidson +2
Much of early literacy education happens at home with caretakers reading books to young children. Prior research demonstrates how having dialogue with children during co-reading ca…