Chun-Hua Tsai, Ph.D.
I am an Assistant Research Professor of IST at Penn State University.
My work seeks to develop fair, trustworthy, and transparent AI using the data-driven, data visualization and human-centered computing (HCC) approaches, particularly for recommender systems, online educational systems, and social media. I adopt mixed, quantitative, and qualitative approaches to understand users’ interaction and experience with AI-driven systems, and to explore design solutions for building trustworthy service and improving human-AI interaction. I am specifically interested in designing solutions for empowering non-expert users and marginalized groups. I see my research agenda as a way to support and contribute to Fair and Explainable AI (XAI) through the HCI and HCC methodologies.
Please find my Full CV here (updated: Dec 22, 2020).
December 2020, one journal paper was accepted by CSCW 2021!
December 2020, one full conference paper was accepted by CHI 2021!
December 2020, one journal paper was accepted by IXD&A journal.
October 2020, one journal paper was accepted by International Journal of Human-Computer Studies (IJHCS)!
September 2020, two workshop papers were accepted by IntRS Workshop@RecSys 2020!
May 2020, one journal paper was accepted by User Modeling and User-Adapted Interaction (UMUAI)!
January 2020, one full conference paper was accepted by CHI 2020!
August 2019, I Joined College of Information Sciences and Technology (IST) at Penn State University, as an Assistant Research Professor. I am a member of IST’s Laboratory for Computer Supported Collaboration and Learning (CSCL), which directed by Dr. John Carroll and Dr. Mary Beth Rosson.
August 2019, I passed my doctoral dissertation defense at the University of Pittsburgh, where I served as a research assistant in the Personalized Adaptive Web Systems (PAWS) Lab, directed by Dr. Peter Brusilovsky.