Assessing User Behavior by Mouse Movements

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review


In this working paper, we study user identification via mouse movement. Instead of treating the problem as a multi-class classification task, we cast user identification as a one-class problem and propose to learn an individual model for every user. Preliminary empirical results show that our approach works for some but not all users. We report on lessons learned.

Original languageEnglish
Title of host publicationHCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Margherita Antona
Number of pages8
Place of PublicationCham
Publication date2020
ISBN (Print)9783030507251
ISBN (Electronic)978-3-030-50726-8
Publication statusPublished - 2020
Event22nd International Conference on Human-Computer Interaction - HCII 2020 - Copenhagen, Denmark
Duration: 19.07.202024.07.2020
Conference number: 22

    Research areas

  • Mouse movement, User behavior, User identification
  • Informatics