About me

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.

Contact me by email via ctsai@psu.edu or by social media via Linkedin.

You may also visit my Google Scholar and Research Gate profile page.

Please find my Full CV here (updated: Dec 22, 2020).

News

  • 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.