Ruijia Cheng, Ph.D.
"Regina" 程瑞加
Human Centered AI Researcher
Hi, I'm Regina! I'm a researcher in Human-computer Interaction and Human Centered AI.
I design and research AI-powered and community-driven technology to help people work with data and code. My research spans across the areas of programming support and education, creativity tools, and social computing.
Currently I'm an AIML resident in Human Centered Machine Learning at Apple, where I develop and research intelligent UIs for programmers and designers.
I received my PhD from the Human Centered Design & Engineering (HCDE) department at University of Washington, where I was part of the Community Data Science Collective research group and mentored by Dr. Benjamin Mako Hill and Dr. Sayamindu Dasgupta. I have worked at the Developer Experience Lab at Microsoft Research, the Human AI Innovation team at Dataminr, and the UX team at Meta.
I received my Bachelor of Science degrees in Cognitive Science and Mathematics from University of California, San Diego (UCSD), where I did research in the Design Lab.
In my free time, I enjoy creating illustrations and cuddling with my cat, Hime.
SELECTED PROJECTS
Technical Systems for Programming and Creativity
Scaffolding LLM-generated Code with
Ephemeral UIs in Computational Notebooks.
Empowering Animation Design using Large Language Models.
Replaying Accessibility Tests from
Natural Language.
A visual block based programming system for computational data literacy.
Design Research on Human-AI Systems
How Online Communities
Shape Software Developers' Trust in AI Code Generation Tools.
Investigating and Designing for Trust in AI-powered Code Generation Tools.
Mapping the Design Space of Human-AI Interaction in Text Summarization.
Empirical Studies about Informal Learning in Online Communities
PUBLICATIONS
Peer Reviewed Publications
Ruotong Wang, Ruijia Cheng, Denae Ford, Thomas Zimmermann. Investigating and Designing for Trust in AI-powered Code Generation Tools.
Maryam Taeb, Amanda Swearngin, Eldon Schoop, Ruijia Cheng, Yue Jiang, Jeffrey Nichols. AXNav: Replaying Accessibility Tests from Natural Language. 2023. Accepted to the
the ACM Conference on Human Factors in Computing Systems (CHI 2024)
Ruijia Cheng, Ruotong Wang, Thomas Zimmermann, Denae Ford. " It would work for me too": How Online Communities
Shape Software Developers' Trust in AI-Powered Code Generation Tools. 2024. Accepted to the ACM Transactions on Interactive Intelligent Systems.
Ruijia Cheng, Aayushi Dangol, Frances Ello, Lingyu Wang, Sayamindu Dasgupta. Concepts, practices, and perspectives for developing
computational data literacy: Insights from workshops with a new data programming system. 2023. Accepted to the
ACM Interaction Design and Children Conference (IDC 2023)
Ruijia Cheng, Sayamindu Dasgupta, Benjamin Mako Hill. How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices' Use of Data Structures. 2022. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2022).
Ruijia Cheng, Benjamin Mako Hill. Many Destinations, Many Pathways: A Quantitative Analysis of Legitimate Peripheral Participation in Scratch. 2022. Accepted to the ACM Human Computer Interaction, Computer Supported Cooperative Work and Social Computing Conference (CSCW 2022).
Ruijia Cheng*, Jenna Frens.* Feedback Exchange and Online Affinity: A Case Study of Online Fanfiction Writers. 2022. Accepted to the ACM Human Computer Interaction, Computer Supported Cooperative Work and Social Computing Conference (CSCW 2022).
Ruijia Cheng, Alison Smith-Renner, Ke Zhang, Joel Tetreault, Alejandro Jaimes. Mapping the Design Space of Human-AI Interaction in Text Summarization. 2022. Accepted to the North American Chapter of the Association for Computational Linguistics Special Theme: Human-Centered Natural Language Processing (NAACL 2022).
Vivian Lai, Alison Smith-Renner, Ke Zhang, Ruijia Cheng, Wenjuan Zhang, Joel Tetreault, Alejandro Jaimes. An Exploration of Post-Editing Effectiveness in Text Summarization. 2022. Accepted to the North American Chapter of the Association for Computational Linguistics Special Theme: Human-Centered Natural Language Processing (NAACL 2022).
Ruijia Cheng, Mark Zachry. Building Community Knowledge in Online Data Science Competitions: Motivation, Practices and Challenges. 2020. Proceedings of the ACM Human Computer Interaction, Computer Supported Cooperative
Work and Social Computing (CSCW 2020).
Ruijia Cheng, Ziwen Zeng, Maysnow Liu, Steven Dow. Critique Me: Exploring How Creators Publicly Request Feedback in an Open Online Community. 2020. Proceedings of the ACM Human Computer Interaction, Computer Supported Cooperative Work and Social Computing (CSCW 2020).
Short Papers, Posters, and Workshop Papers
Ruijia Cheng, Alison Smith-Renner, Ke Zhang, Joel Tetreault, Alejandro Jaimes. Trust and Reliance in Human-AI Collaborative Text Summarization. 2022. Workshop paper in the Trust and Reliance in Human-AI Teams workshop in the ACM Conference on Human Factors in Computing Systems (CHI 2022).
Ruijia Cheng, Jan De Castro, Steven Dow, Joel Chan. 2018. An Exploratory Study of Problem Framing in Distributed Collaborative Design. Short paper in the ACM Group Conference (Group 2018).
Fiza Singh, Amanda Smith, Nick Dudeck, Eduardo Herrera, Jade Lee, Zinong Yang, Ruijia Cheng, Jaime Pineda. 2016. A Pilot Study to Assess the Effects of EEG-Gamma Neurofeedback on Working Memory in Schizophrenia Patients. Poster in the Society for Neuroscience 2016 Annual Conference (SfN 2016).
