Amy Pavel

Assistant Professor
Amy Pavel is an Assistant Professor in the Department of Computer Science. Prior to joining UT Austin, Pavel was a Postdoctoral Fellow at Carnegie Mellon University and a Research Scientist at Apple. She obtained her Ph.D. from UC Berkeley. Her research in Human-Computer Interaction focuses on designing, building and evaluating new interactive systems driven by Artificial Intelligence. Her primary research goal is to make technology-mediated communication more efficient and accessible, especially for people with disabilities. She publishes her work at venues such as CHI, UIST and NAACL.

Research

Research Interests: 
  • Human-AI Interaction
  • Accessibility
  • Video & AR/VR
  • Natural Language Processing
Current Research: 

For an up-to-date description of recent work, visit her website.

Select Publications

Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, Amy Pavel. Controlling Dialogue Generation with Semantic Exemplars. Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021).
Xingyu Liu, Patrick Carrington, Xiang ’Anthony’ Chen, Amy Pavel. What Makes a Video Non-Visually Accessible?. The ACM Conference on Computer Human Interaction (CHI 2021).
Yi-Hao Peng, Joon Jang, Jeffrey P. Bigham, Amy Pavel. Say it all: Authoring Non-Visually Accessible Presentations. The ACM Conference on Computer Human Interaction (CHI 2021).
Amy Pavel, Gabriel Reyes, Jeffrey P. Bigham. Rescribe: Authoring and Automatically Editing Audio Descriptions. The ACM Conference on User Interface Software and Technology (UIST 2020).
Cole Gleason, Stephanie Valencia, Lynn Kirabo, Jason Wu, Anhong Guo, Elizabeth J. Carter, Jeffrey P. Bigham, Cynthia L. Bennett, Amy Pavel. Disability and the COVID-19 Pandemic: Using Twitter to Understand Accessibility during Rapid Societal Transition. The ACM Conference on Computers and Accessibility (ASSETS 2020).

Awards & Honors

2020 - CHI Honorable Mention
2020 - CHI Honorable Mention
2018 - Outstanding Graduate Student Instructor (UC Berkeley EECS)