Profile image of Ruoxi Shang

I am an HCI researcher and a PhD candidate 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

Rethinking Teaching Evaluation Reports: Designing AI-transformed Student Feedback for Instructor Engagement

Ruoxi Shang, Keri Mallari, Wei Bin Au Yeong, Ken Yasuhara, Anthony Tang, Gary Hsieh

CSCW 2025: Computer Supported Cooperative Work and Social Computing

  PDF    


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    

News

Will start internship at Microsoft Research with the Inclusive Futures team

Jun 2025

Looking forward to spending summer 2025 at MSR!


Passed my General Exam - officially a PhD Candidate!

Jan 2025

Excited to continue my PhD journey at UW HCDE


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.