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Assessing User Behavior by Mouse Movements

Part of the Communications in Computer and Information Science book series (CCIS,volume 1224)


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.


  • Mouse movement
  • User identification
  • User behavior

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Correspondence to Jennifer Jorina Matthiesen .

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A Additional Features

A Additional Features

Table 2. List of additional features

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Matthiesen, J.J., Brefeld, U. (2020). Assessing User Behavior by Mouse Movements. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1224. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50725-1

  • Online ISBN: 978-3-030-50726-8

  • eBook Packages: Computer ScienceComputer Science (R0)