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.

Previously, I studied mathematics, data science, and ML at UC Berkeley.

@annashang_rx

Google Scholar

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

  arXiv       GitHub    


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       arXiv    


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!