I am an HCI researcher and a 4th-year PhD student at Human Centered Design and Engineering (HCDE) at the University of Washington, advised by Gary Hsieh and Chirag Shah. My research generally lie in Human-AI Interaction and Human-centered Interpretable ML. I study how generative AI can facilitate synthetic diversity in feedback to support tech professionals (e.g. programmers, researchers, data scientists). I am also interested in designing AI that can attend to the cognitive and emotional needs of humans when assisting them.
Before joining UW, I had fun with mathematics, data science, and applied machine learning as an undergrad at UC Berkeley.
Ongoing projects
This project investigates how LLMs can support researchers in gaining diverse perspectives on their work, enhancing the quality of academic research.
We are exploring how LLMs-powered feedback can facilitate programmers to practice soft skills during a coding interview.
Publications
Trusting your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust
Ruoxi Shang, Gary Hsieh, Chirag Shah
FAccT 2024 (In Submission): Conference on Fairness, Accountability, and Transparency
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven M. Drucker
CHI 2024: CHI Conference on Human Factors in Computing Systems
IntroBot: Exploring the Use of Chatbot-assisted Familiarization in Online Collaborative Groups
Donghoon Shin, Soomin Kim, Ruoxi Shang, Joonhwan Lee, Gary Hsieh
CHI 2023: CHI Conference on Human Factors in Computing Systems
Why Am I Not Seeing It? Understanding Users’ Needs for Counterfactual Explanations in Everyday Recommendations
Ruoxi Shang, KJ Kevin Feng, Chirag Shah
FAccT 2022: ACM Conference on Fairness, Accountability, and Transparency
“What’s going on in Accessibility Research?” Frequencies and Trends of Disability Categories and Research Domains in Publications at ASSETS
Ather Sharif, Ploypilin Pruekcharoen, Thrisha Ramesh, Ruoxi Shang, Spencer Williams, Gary Hsieh
ASSETS 2022: ACM SIGACCESS Conference on Computers and Accessibility
News
Actively looking for summer 2024 internship opportunities...
Oct 2023
I'm interested in working on projects broadly related to human-AI interaction, Trust, LLMs-powered applications, Visualization.
Started my summer internship at MSR working with the fxData Team!
Jun 2023
Starting my summer internship at TruEra
Sep 2022
I worked on understanidng how data scientists approach performance debugging of machine learning models and supporting them with a guided product workflows.
Presented my 1st first-author full paper at FAccT 2022
Jun 2022
Also my first time visiting Seoul!
Attended my first in-person conference at CHI 2022
May 2022
Finally get confirmed that people on zoom are real!