most citedCustomizing Generated Signs and Voices of AI Avatars: Deaf-Centric Mixed-Reality Design for Deaf-Hearing Communication

7 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2024★ 7 cited

Customizing Generated Signs and Voices of AI Avatars: Deaf-Centric Mixed-Reality Design for Deaf-Hearing Communication

Si Chen, Haocong Cheng, Suzy Su +4

This study investigates innovative interaction designs for communication and collaborative learning between learners of mixed hearing and signing abilities, leveraging advancements…

cs.HC2024★ 1 cited

"We do use it, but not how hearing people think": How the Deaf and Hard of Hearing Community Uses Large Language Model Tools

Shuxu Huffman, Si Chen, Kelly Avery Mack +3

Generative AI tools, particularly those utilizing large language models (LLMs), are increasingly used in everyday contexts. While these tools enhance productivity and accessibility…

cs.HC2024

Motion Design Principles for Accessible Video-based Learning: Addressing Cognitive Challenges for Deaf and Hard of Hearing Learners

Si Cheng, Haocong Cheng, Suzy Su +4

Deaf and Hard-of-Hearing (DHH) learners face unique challenges in video-based learning due to the complex interplay between visual and auditory information in videos. Traditional a…

cs.HC2024★ 5 cited

Inclusive Emotion Technologies: Addressing the Needs of d/Deaf and Hard of Hearing Learners in Video-Based Learning

Si Chen, Jason Situ, Haocong Cheng +6

Accessibility efforts for d/Deaf and hard of hearing (DHH) learners in video-based learning have mainly focused on captions and interpreters, with limited attention to learners' em…

cs.HC2024★ 1 cited

"Real Learner Data Matters" Exploring the Design of LLM-Powered Question Generation for Deaf and Hard of Hearing Learners

Si Cheng, Shuxu Huffman, Qingxiaoyang Zhu +3

Deaf and Hard of Hearing (DHH) learners face unique challenges in learning environments, often due to a lack of tailored educational materials that address their specific needs. Th…

cs.HC2024

Towards Inclusive Video Commenting: Introducing Signmaku for the Deaf and Hard-of-Hearing

Si Chen, Haocong Cheng, Jason Situ +6

Previous research underscored the potential of danmaku--a text-based commenting feature on videos--in engaging hearing audiences. Yet, for many Deaf and hard-of-hearing (DHH) indiv…