Ruijia Cheng, Ph.D.
"Regina" 程瑞加
Human-computer Interaction Researcher
CV

Hi, I'm Regina! I'm a researcher in Human-computer Interaction. I design and research technology to help people work and create with data and code. My research spans across the areas of programming support and education, creativity tools, and social computing.

Currently I'm a research scientist in the Human Centered Machine Intelligence group at Apple, where I develop and research innovative 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 did an internship at the Developer Experience Lab at Microsoft Research.

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

Designing for Programming and Creativity
biscuit

BISCUIT

Scaffolding Code Generation with Ephemeral UIs in Computational Notebooks.

keyframer

Keyframer

Empowering Animation Design using Large Language Models.

axnav

AXNav

Replaying Accessibility Tests from Natural Language.

dataland

Dataland

A visual block based programming system for computational data literacy.

Copilot Community

Code Generation User Community

How Online Communities Shape Software Developers' Trust in Code Generation Tools.

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Interface Design for Developer Trust in Code Generation

Investigating and Designing for Trust in Code Generation Tools.

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Design Space for Text Summarization

Mapping the Design Space of Text Summarization.

Empirical Studies about Informal Learning in Online Communities

PUBLICATIONS

Peer Reviewed Publications

FAccT 2024

Ruotong Wang, Ruijia Cheng, Denae Ford, Thomas Zimmermann. Investigating and Designing for Trust in Code Generation Tools.

CHI 2024

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)

Tiis 2024

Ruijia Cheng, Ruotong Wang, Thomas Zimmermann, Denae Ford. " It would work for me too": How Online Communities Shape Software Developers' Trust in Code Generation Tools. 2024. Accepted to the ACM Transactions on Interactive Intelligent Systems.

IDC 2023

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)

CHI 2022

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).

CSCW 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).

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).

NAACL 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).

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).

CSCW 2020

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).

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

CHI 2022

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).

GROUP 2018

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).

SfN 2016

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).