Kay Chen

Kay Chen

Assistant Professor
Phone: (603) 862-0746
Office: Communication Sciences and Disorders Dept, Hewitt Hall, Durham, NH 03824

Kay Chen, Ph.D., CCC-SLP, is an Assistant Professor in the Department of Communication Sciences and Disorders. She received a Ph.D. in Rehabilitation Sciences and Technology from the University of Pittsburgh in 2016. From 2016 to 2017, Kay worked as a postdoctoral researcher at Language Technologies Institute, Carnegie Mellon University, where she studied AAC language data sciences and implementation. Before arriving at UNH, She worked as an assistant professor at the State University of New York at Fredonia.

She is a researcher and clinician in Augmentative and Alternative Communication (AAC). Her research focuses on using artificial intelligence to help clinicians collect and analyze AAC data. Additionally, her clinical research focuses on developing AAC interventions and solutions for Chinese-English bilingual speakers.

Courses Taught

  • COMM 420: Survey Communication Disorders
  • COMM 798/895: SpcTop/Augmentativ/AlternatCmn
  • COMM 843: Augmentative & Alternative Cmm
  • INCO 590: Student Research Experience

Research Interests

  • Assistive Technology (Disabled)
  • Communicative Disorders, Speech
  • Language Processing, with a focus on language production and co-speech gesture
  • Prosthetic Device, Speech
  • Speech/Language Therapy

Selected Publications

  • Chen, S. -H. K., Saeli, C., & Hu, G. (2024). A proof-of-concept study for automatic speech recognition to transcribe AAC speakers’ speech from high-technology AAC systems. Assistive Technology, 36(4), 319-326. doi:10.1080/10400435.2023.2260860

  • Huang, L., Chen, S. -H. K., Xu, S., Wang, Y., Jin, X., Wan, P., . . . Shan, C. (2021). Augmentative and alternative communication intervention for in-patient individuals with post-stroke aphasia: study protocol of a parallel-group, pragmatic randomized controlled trial. TRIALS, 22(1). doi:10.1186/s13063-021-05799-0

  • Hu, G., Chen, S. -H. K., & Mazur, N. (n.d.). Deep Neural Network-based Speaker-Aware Information Logging (SAIL) for Augmentative and Alternative Communication. Special Issue: Blockchain and Artificial Intelligence Applications, 1(2). doi:10.37965/jait.2021.0017

  • Chen, S. -H. K., & O'Leary, M. (2018). Eye Gaze 101: What Speech-Language Pathologists Should Know About Selecting Eye Gaze Augmentative and Alternative Communication Systems. Perspectives of the ASHA Special Interest Groups, 3(12), 24-32. doi:10.1044/persp3.sig12.24

  • Ridenour, T. A., Chen, S. -H. K., Liu, H. -Y., Bobashev, G. V., Hill, K., & Cooper, R. (2017). The clinical trials mosaic: Toward a range of clinical trials designs to optimize evidence-based treatment. Journal for Person-Oriented Research, 3(1), 28-48. doi:10.17505/jpor.2017.03