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Yao Li
Yao Li, Ph.D.
Assistant Professor
Director, Privacy Lab
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Partnership 3: 211
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Yao Li is an assistant professor in the School of Modeling, Simulation and Training at the University of Central Florida. She is a core faculty member in the Cyber Security and Privacy Cluster, and a joint faculty member in the Department of Computer Science. She received her Ph.D. degree in information and computer sciences from the Department of Informatics at University of California, Irvine in 2019, under the supervision of Dr. Alfred Kobsa. Before that, she received her M.S. from iSchool at Syracuse University, and B.B.A. from International Business School at Beijing Foreign Studies University.

Education
  • Ph.D., Information and Computer Sciences, University of California, Irvine
  • M.S., Information Science, Syracuse University
  • B.B.A., E-Commerce, Beijing Foreign Studies University
Appointments
  • Assistant Professor, School of Modeling, Simulation, and Training, UCF
  • Lab Director, Privacy Lab, Institute for Simulation & Training, SMST, UCF
Courses
  • COT 5570: Introductory Mathematics for Modeling and Simulation
  • IDS 6147: Perspectives in Modeling and Simulation
  • IDC 6602: Usable Cybersecurity & Privacy
Highlights
Publications
Journal Articles

[SOUPS2024] Yanlai Wu, Xinning Gui, Yuhan Luo, Yao Li. (2024). Designing the Informing Process with Streamers and Bystanders in Live Streaming. In Twentieth Symposium on Usable Privacy and Security, Page 315-332.

[CHI2024] Reza Ghaiumy Anaraky, Yao Li, Hichang Cho, Danny Yuxing Huang, Kaileigh Angela Byrne, Bart Knijnenburg, and Oded Nov. (2024). Personalizing Privacy Protection With Individuals’ Regulatory Focus: Would You Preserve or Enhance Your Information Privacy?. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, Honolulu, USA, May 11 – 16, 2024, Article 982, 1–17, https://doi.org/10.1145/3613904.3642640

[CHI2023] Renkai Ma, Yao Li and Yubo Kou. (2023). Transparency, Fairness, and Coping: How Players Experience Moderation in Multiplayer Online Games. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Hamburg, Germany April 23 – 28, 2023, Article 574, 1-21. https://doi.org/10.1145/3544548.3581097.

[CSCW2023] Yanlai Wu, Xinning Gui, Pamela J. Wisniewski, Yao Li. (2023). Do Streamers Care About Bystanders’ Privacy? An Examination of Live Streamers’ Considerations And Strategies For Bystanders’ Privacy Management. Proceedings of the ACM on Human-Computer Interaction, Vol 7, No. CSCW1, Article 127, 1-29. https://doi.org/10.1145/3579603.

Yue You, Chun-Hua Tsai, Yao Li, Fenglong Ma, Christopher Heron, and Xinning Gui. 2023. Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond. ACM Trans. Comput.-Hum. Interact. Just Accepted (March 2023). https://doi.org/10.1145/3589959

Yao Li, Hichang Cho, Anaraky, Reza Ghaiumy Anaraky, Bart P. Knijnenburg and Alfred Kobsa. (2022). Antecedents of collective privacy management in social network sites: a cross-country analysis. CCF Transactions on Pervasive Computing and Interaction, 1-18.

Book Chapters

Hichang Cho & Yao Li. (2023). Intercultural privacy. The Routledge Handbook of Privacy and Social Media, 144-151.

Yao Li. (2022). Cross-Cultural Privacy Differences. In Modern Socio-Technical Perspectives on Privacy (pp. 267-292). Springer, Cham.

Conference Papers

[CSCW2023] Mainack Mondal, Anju Punuru, Tyng-Wen Scott Cheng, Kenneth Vargas, Chaz Gundry, Nathan S Driggs, Noah Schill, Nathaniel Carlson, Josh Bedwell, Jaden Q Lorenc, Isha Ghosh, Yao Li, Nancy Fulda, and Xinru Page. (2023). A Tale of Two Cultures: Comparing Interpersonal Information Disclosure Norms on Twitter. Proceedings of the ACM on Human-Computer Interaction (accepted).

[CHI2023] Renkai Ma, Yao Li, and Yubo Kou. 2023. Transparency, Fairness, and Coping: How Players Experience Moderation in Multiplayer Online Games. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 574, 1–21. https://doi.org/10.1145/3544548.3581097

[CSCW2023] Yanlai Wu, Xinning Gui, Pamela J. Wisniewski, Yao Li. (2023). Do Streamers Care About Bystanders’ Privacy? An Examination of Live Streamers’ Considerations And Strategies For Bystanders’ Privacy Management. Proceedings of the ACM on Human- Computer Interaction, Vol 7, No. CSCW1, Article 127.

[CSCW2022] Yanlai WuYao Li, and Xinning Gui. (2022). ”I Am Concerned, But…”: Streamers’ Privacy Concerns and Strategies In Live Streaming Information Disclosure. Proceedings of the ACM on Human-Computer Interaction, Vol 6, No. CSCW2, Article 379, 31 pages.

[CHI2022] Ashwaq Alsoubai, Reza Ghaiumy Anaraky, Yao Li, Xinru Page, Bart Knijnenburg and Pamela J. Wisniewski. (2022). Permission vs. App Limiters: Profiling Smartphone Users to Understand Differing Strategies for Mobile Privacy Management. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), New Orleans, LA, USA, Article 406, 1–18.

[ECSCW2022] Yao Li and Xinning Gui. (2022). Examining Co-Owners’ Privacy Consideration in Collaborative Photo Sharing. Computer Supported Cooperative Work (CSCW), 1-31.


Projects
  • NSF: SFS: CyberCorps Scholarship for Service at the University of Central Florida
    ($2,571,192, Feb. 2021 – Feb 2026) Cliff Zou (PI), Yan Solihin (Co-PI), Michael Posey (Co-PI), David Mohaisen (Co-PI), Yao Li (Co-PI). This project is to provide cybersecurity scholarships and training to undergraduate and graduate students to prepare them as future cybersecurity workforce for federal agencies.
  • Cross-Cultural Privacy Differences: this project aims to investigate the cross-cultural differences in users’ privacy management in technologies.
  • Privacy Management in Real-Time Information Sharing: this project focuses on examining how privacy management is challenged in real-time information sharing setting, such as live streaming.
  • Improving Privacy Settings on Social Media: this project aims to better understand how users adopt privacy settings, explore any usability issues in the current privacy design, and improve the privacy settings to better support users’ privacy management.

Research Interests:

Cybersecurity
Human-computer Interaction (HCI)
Privacy
Social Media


Areas of Expertise:

Equation Modeling
Machine Learning


Application Areas:

Cybersecurity
Defense
Education
Entertainment
Social Media