Profile image of Ruoxi Shang wearing a purple benie

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.

@annashang_rx

Google Scholar

Ongoing projects

Mockup

This project explores how AI and language models can help redesign teaching evaluation reports to increase instructor engagement while mitigating emotional burden.

Black

This project investigates how LLMs can support researchers in gaining diverse perspectives on their work, enhancing the quality of academic research.

Publications

BLADE: Benchmarking Language Model Agents for Data-Driven Science

Ken Gu, Ruoxi Shang, Ruien Jiang, Keying Kuang, Richard-John Lin, Donghe Lyu, Yue Mao, Youran Pan, Teng Wu, Jiaqian Yu, Yikun Zhang, Tianmai M. Zhang, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff

EMNLP 2024: Empirical Methods in Natural Language Processing


Trusting your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust

Ruoxi Shang, Gary Hsieh, Chirag Shah

AIES 2024: AAAI Conference on AI, Ethics, and Society

  PDF    


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

  PDF    


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

  PDF    


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

  PDF       Video    

News

October Travel Plan: I'll be serving as SV at UIST 2024 (Oct 12-17) and presenting at AIES 2024 (Oct 21-23).

Sep 2024

See you @ Pittsburg and San Jose


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!