I am an HCI researcher and a 3rd-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 Explainable ML. I study how to design AI agents 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.
We are exploring how LLM-powered tutoring can facilitate an interactivce learning environment for programmers.
We developed and validated a semantic differential scale measuring cognitive and affectivce trust towards AI.
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
Giving and Receiving: Reciprocal Review Exchange in Online Fanfiction Communities
Ruoxi Shang, Zile Xiao, Jenna Frens, Cecilia Aragon
CSCW 2021 Companion: Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing
Feature fusion network based on attention mechanism for 3D semantic segmentation of point clouds
Heng Zhou, Zhijun Fang, Yongbin Gao, Bo Huang, Cengsi Zhong, Ruoxi Shang
Pattern Recognition Letters, 2020
Actively looking for summer 2023 internship opportunities
I'm interested in working on projects broadly related to human-AI interaction, trust, and explainable ML.
Starting my summer internship at TruEra
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
Also my first time visiting Seoul!
Attended my first in-person conference at CHI 2022
Finally get confirmed that people on zoom are real!