@inproceedings{niu-etal-2025-keystroke,
    title = "Keystroke Analysis in Digital Test Security: {AI} Approaches for Copy-Typing Detection and Cheating Ring Identification",
    author = "Niu, Chenhao  and
      Shih, Yong-Siang  and
      Liao, Manqian  and
      Liu, Ruidong  and
      Ortmann Lee, Angel",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress",
    month = oct,
    year = "2025",
    address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.aimecon-wip.13/",
    pages = "107--116",
    ISBN = "979-8-218-84229-1",
    abstract = "This project leverages AI-based analysis of keystroke and mouse data to detect copy-typing and identify cheating rings in the Duolingo English Test. By modeling behavioral biometrics, the approach provides actionable signals to proctors, enhancing digital test security for large-scale online assessment."
}