Hi, I'm Chaoran Chen


I’m a second-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 B.Eng in Industrial Design from Tongji University.

My work falls in the intersection of Human-Computer Interaction, Cybersecurity, Graph Learning, and Usable Privacy, where I use human-centered methods to design, build, and evaluate human-AI collaborative systems to strengthen the trustworthiness and explainability, ranging from mobile ads promotion to privacy paradox. Besides, I’m also passionate about leveraging the state-of-the-art AI techniques (e.g. generative models) to benefit a variety of human needs and optimizing user experience accordingly.

NEWS
PUBLICATION
Image for An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox

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
Arxiv preprint

Image for Prompt Learning Unlocked for App Promotion

Prompt Learning Unlocked for App Promotion

Zhongyu Ouyang, Shifu Hou, Shang Ma, Chaoran Chen, Chunhui Zhang, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye
NeurIPS 2023 GLFrontier workshop

Image for ARDW: An Augmented Reality Workbench for Printed Circuit Board Debugging

ARDW: An Augmented Reality Workbench for Printed Circuit Board Debugging

Ishan Chatterjee, Tadeusz Pforte, Aspen Tng, Farshid Salemi Parizi, Chaoran Chen, Shwetak Patel
In the Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST 2022)[video]

Image for Patterns for representing knowledge graphs to communicate situational knowledge of service robots

Patterns for representing knowledge graphs to communicate situational knowledge of service robots

Shengchen Zhang, Zixuan Wang, Chaoran Chen, Yi Dai, Lyumanshan Ye, Xiaohua Sun
In the Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI 2021)[video]

Image for Measuring street enclosure and its influence to human physiology through wearable sensors

Measuring street enclosure and its influence to human physiology through wearable sensors

Ercument Gorgul, Chaoran Chen, Katrina Karyee Wu, Yifan Guo
In the Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (Ubicomp/ISWC 2019)

Image for Mapping human response to street experience: a study on comparing walking with cycling on streets through wearable sensors

Mapping human response to street experience: a study on comparing walking with cycling on streets through wearable sensors

Ercument Gorgul, Liuyi Zhang, Franziska Günther, Chaoran Chen
In the Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (Ubicomp/ISWC 2019)

Image for A Visualization Based Analysis to Assist Rebalancing Issues Related to Last Mile Problem for Bike Sharing Programs in China: A Big-Data Case Study on Mobike

A Visualization Based Analysis to Assist Rebalancing Issues Related to Last Mile Problem for Bike Sharing Programs in China: A Big-Data Case Study on Mobike

Ercument Gorgul, Chaoran Chen
The 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019)

Image for AI-Sketcher: A Deep Generative Model for Producing High-Quality Sketches

AI-Sketcher: A Deep Generative Model for Producing High-Quality Sketches

Nan Cao, Xin Yan, Yang Shi, Chaoran Chen
The thirty-third AAAI conference on artificial intelligence (AAAI 2019)