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.
- 05/2023
- 🏫 Participanted in the Post-CHI Summer School on Usable Privacy and Security at Technical University of Munich. - 04/2023
- 📃 Attended CHI 2023 in Hamburg and presented our work about empathy privacy in one of the CHI workshops: "Privacy Interventions and Education (PIE): Encouraging Privacy Protective Behavioral Change Online". - 10/2022
- 🏅 Attended MobileHCI 2022 in Vancuver as a SV and participanted in the Student Design Competition. Our work Taptag won the Best Implementation Award! - 08/2022
- 🎓 Graduate from METALS program at Carnegie Mellon University and moved to Notre Dame to start my Ph.D. study in HCI, Cybersecurity, and Privacy.
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
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
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]
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]
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)
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)
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)
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)