Kay Chen

Kay Chen

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

<p>Kay Chen, Ph.D., CCC-SLP, is an Assistant Professor in the Department of Communication Sciences and Disorders at the University of New Hampshire. Her research focuses on artificial intelligence-enhanced augmentative and alternative communication (AAC) language data science and the development of AAC interventions for Chinese and English bilinguals, with funding from the National Institutes of Health and private foundations. Her work has been widely published in leading peer-reviewed journals and has received departmental and national awards for research excellence. She actively engages in interdisciplinary collaborations across computer science and rehabilitation engineering and contributes to advancing evidence-based assessment and intervention strategies for individuals with complex communication needs.</p>

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

  • Huang, L., Yan, J., & Chen, S. -H. K. (2024). Combining low-technology augmentative and alternative communication with regular aphasia treatment: interim findings of a hospital-based RCT in post-stroke patients. Aphasiology, 1-20. doi:10.1080/02687038.2024.2406592

  • 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.. Assist Technol, 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. (2021). Deep Neural Network-based Speaker-Aware Information Logging (SAIL) for Augmentative and Alternative Communication. Journal of Artificial Intelligence and Technology, 1(2). doi:10.37965/jait.2021.0017

  • Wang, E. -H., Zhou, L., Chen, S. -H. K., Hill, K., & Parmanto, B. (2018). An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation.. JMIR Rehabil Assist Technol, 5(2), e14. doi:10.2196/rehab.9009

  • 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

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  • Most Cited Publications