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1. Towards investigating residual hearing loss: quantification of fibrosis in a novel cochlear OCT dataset

   Dietlmeier, J; Greenberg, B; He, W; Wilson, T; Xing, R; Hill, J; Fettig, A; Otto, M; Rounsavill, T; Reiss, L; et al (August 2025, IEEE transactions on biomedical engineering)
2. Towards Accessible Conversations in a Mobile Context for People who are Deaf and Hard of Hearing

   https://doi.org/10.1145/3234695.3236362  

   Jain, Dhruv; Franz, Rachel; Findlater, Leah; Cannon, Jackson; Kushalnagar, Raja; Froehlich, Jon (January 2018, 20th International ACM SIGACCESS Conference on Computers and Accessibility – ASSETS ’18)
3. Towards Inclusive Video Commenting: Introducing Signmaku for the Deaf and Hard-of-Hearing

   https://doi.org/10.1145/3613904.3642287  

   Chen, Si; Cheng, Haocong; Situ, Jason; Kirst, Desirée; Su, Suzy; Malhotra, Saumya; Angrave, Lawrence; Wang, Qi; Huang, Yun (May 2024, ACM)

   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) individuals, American Sign Language (ASL) takes precedence over English. To improve inclusivity, we introduce “Signmaku,” a new commenting mechanism that uses ASL, serving as a sign language counterpart to danmaku. Through a need-finding study (N=12) and a within-subject experiment (N=20), we evaluated three design styles: real human faces, cartoon-like figures, and robotic representations. The results showed that cartoon-like signmaku not only entertained but also encouraged participants to create and share ASL comments, with fewer privacy concerns compared to the other designs. Conversely, the robotic representations faced challenges in accurately depicting hand movements and facial expressions, resulting in higher cognitive demands on users. Signmaku featuring real human faces elicited the lowest cognitive load and was the most comprehensible among all three types. Our findings offered novel design implications for leveraging generative AI to create signmaku comments, enriching co-learning experiences for DHH individuals. 

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4. Towards a more accessible planetarium: Testing captioning options with members of the Deaf and Hard-of-Hearing community

   Schmoll, Shannon E; Trucks, Jesica (December 2023, The Planetarian)
5. Autoethnography of a Hard of Hearing Traveler

   https://doi.org/10.1145/3308561.3353800  

   Jain, Dhruv; Desjardins, Audrey; Findlater, Leah; Froehlich, Jon E. (January 2019, ACM ASSETS Conference)