Chun-Hua Tsai, Ph.D.
My research interests are center around develop fair, trustworthy, and transparent AI using data-driven, data visualization, and user-centered design approaches.
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.
News & Updates
05/2021: Our journal paper was accepted by CSCW 2021 - "With Help from Afar: Cross-Local Communication in an Online COVID-19 Pandemic Community".
05/2021: I will join the College of Information Science & Technology at the University of Nebraska Omaha as an assistant professor in fall 2021. :-)
04/2021: Two conference papers were accepted by C&T 2021 - "COVID Kindness: Patterns of Neighborly Cooperation during a Global Pandemic" & "Making Space for Support: An Exploratory Analysis of Pandemic-Response Mutual Aid Platforms".
12/2020: One journal paper was accepted by CSCW 2021 - "Working Together in a PhamilySpace: Facilitating Collaboration on Healthy Behaviors Over Distance".
12/2020: One full conference paper was accepted by CHI 2021- "Exploring and Promoting Diagnostic Transparency and Explainability in Online Symptom Checkers".
12/2020: One journal paper was accepted by IXD&A journal - "Experiencing the Transition to Remote Teaching and Learning during the COVID-19 Pandemic"
10/2020: One journal paper was accepted by the International Journal of Human-Computer Studies (IJHCS) - "Family’s Health: Opportunities for Non-Collocated Intergenerational Families Collaboration on Healthy Living".
09/2020: Two workshop papers were accepted by IntRS Workshop@RecSys 2020 - "User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis" & "Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective".
05/2020: One journal paper was accepted by User Modeling and User-Adapted Interaction (UMUAI) - "The Effects of Controllability and Explainability in a Transparent Social Recommender System".
01/2020: One full conference paper was accepted by CHI 2020 - "The Emerging Professional Practice of Remote Sighted Assistance for People with Visual Impairments".
08/2019: I joined the 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.
08/2019: 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.