Hi, I'm Chaoran Chen
I’m a fourth-year PhD student in the Department of Computer Science and Engineering at the University of Notre Dame. I am co-advised by Dr. Toby Jia-Jun Li and Dr. Fanny Yanfang Ye. Before joining ND, I received my M.S. degrees in Educational Technology and Applied Learning Science from Carnegie Mellon University. I received my Bachelor's degree in Industrial Design from Tongji University.
My research lies at the intersection of Human-Computer Interaction, Usable Privacy and Security, and Large Language Models (LLMs). I use human-centered design methods to investigate the dual relationship between LLMs and privacy/security: the Privacy and Security of LLMs (i.e., risks and vulnerabilities introduced by the use of LLMs) and LLMs for Privacy and Security (i.e., how LLMs can be used as tools to improve user privacy and security). My work argues that novel interface and interaction designs are essential to bridge these two perspectives and to empower end users in navigating the shifting privacy and security landscape shaped by generative AI.
- 02/2026
- 📃 Excited to share that one paper has been accepted to IUI 2026 and three papers have been accepted to CHI 2026. Many thanks to my amazing collaborators! - 09/2025
- ✈️ Attending UIST 2025 in Busan, Korea, and will present our paper "Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations." - 08/2025
- ✈️ Attending SOUPS 2025 in Seattle and will present our poster "The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections." - 08/2025
- 📃 Two co-authored papers accepted to the HAIPS@CCS workshop - 07/2025
- 💻 Started my research internship at Google as a Student Researcher.

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight
Jingyu Tang, Chaoran Chen, Jiawen Li, Zhiping Zhang, Bingcan Guo, Ibrahim Khalilov, Simret Araya Gebreegziabher, Bingsheng Yao, Dakuo Wang, Yanfang Ye, Tianshi Li, Ziang Xiao, Yaxing Yao, Toby Jia-Jun Li
In the Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI 2026)

Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration
Bingsheng Yao, Jiaju Chen, Chaoran Chen, April Wang, Toby Jia-jun Li, Dakuo Wang
In the Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI 2026)

My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom
Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li
In the Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI 2026)

The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes
Simret Araya Gebreegziabher, Yukun Yang, Charles Chiang, Hojun Yoo, Chaoran Chen, Hyo Jin Do, Zahra Ashktorab, Werner Geyer, Diego Gómez-Zará, Toby Jia-Jun Li
In the Proceedings of the 31th ACM Conference on Intelligent User Interfaces (IUI 2026)

Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations
Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-jun Li
In the Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST 2025)

Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents
Chaoran Chen, Bingsheng Yao, Ruishi Zou, Wenyue Hua, Weimin Lyu, Toby Jia-Jun Li, Dakuo Wang
Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings 2025)

CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications
Chaoran Chen, Daodao Zhou, Yanfang Ye, Toby Jia-jun Li, Yaxing Yao
Proceedings of the 30th ACM Conference on Intelligent User Interfaces (IUI 2025)

Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph
Shang Ma, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, Yanfang Ye
Network and Distributed System Security Symposium ((NDSS 2025)

An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox
Chaoran Chen, Weijun Li, Wenxin Song, Yaxing Yao, Yanfang Ye, Toby Jia-jun Li
In the Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI 2024)
