About me
Chun-Hua Tsai, Ph.D.
I am an Assistant Professor in the Department of Information Systems and Quantitative Analysis (ISQA) at the University of Nebraska at Omaha.
My research interests center around developing fair, trustworthy, and transparent AI using data-driven, data visualization, and user-centered design approaches. I see my research agenda to support and contribute to Fair and Explainable AI (XAI) through the HCI and HCC methodologies.
Email: chunhuatsai@unomaha.edu
Please find my Curriculum Vitae (CV) here.
LATEST NEWS
10/2021: One paper was accepted by CSCW 2022.
09/2021: Two papers were accepted by ACM Group 2022.
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 IS&T 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" (Best Paper Award) & "Making Space for Support: An Exploratory Analysis of Pandemic-Response Mutual Aid Platforms".
News Archives
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.