Xinning Gui

schoolPennsylvania State Universitybar_chart#30 Global Rank
Total Papers
44
HCI Rank
#30
Research Areas
16
Years Active
9

Personal Information

  • KeywordsHealth InformaticsHuman-Computer InteractionComputer-Supported Cooperative WorkSocial Media ResearchTransparencyPrivacySecurityHealth Technology
  • OrganizationPennsylvania State University
  • Education (Institution)University of California, Irvine (Ph.D.), Beijing Normal University (M.A.), Peking University (B.A.)
  • EmailContact information not disclosed

Social Media & Links

Biography

Dr. Xinning Gui is currently an Assistant Professor in the College of Information Sciences and Technology at Pennsylvania State University. Her research intersects health informatics, human-computer interaction (HCI), and computer-supported cooperative work (CSCW). Her work focuses on transparency, privacy, security, and user experience design in health technology. In addition, she collaborates extensively with machine learning and HCI researchers on topics such as self-tracking, mobile payment design, video game player experience, online behavior governance, and the role of social media in civic engagement. She earned her Ph.D. in Information and Computer Science from the University of California, Irvine, her M.A. in Modern and Contemporary Chinese Literature from Beijing Normal University, and her B.A. in Chinese Literature and Linguistics from Peking University.

Work Experience

  • 2020–Present·Pennsylvania State University·Assistant Professor
    • Focused on health informatics, human-computer interaction, and computer-supported cooperative work, conducting research on transparency, privacy, and security in health technologies.

Education

  • 2013–2019·University of California, Irvine·Ph.D.
    • Information and Computer Science, advised by Professor Yunan Chen
  • 2009–2012·Beijing Normal University·M.A.
    • Modern and Contemporary Chinese Literature
  • 2005–2009·Peking University·B.A.
    • Chinese Literature and Linguistics

This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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