Assessing User Behavior by Mouse Movements
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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 language | English |
|---|---|
| Title of host publication | HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings |
| Editors | Constantine Stephanidis, Margherita Antona |
| Number of pages | 8 |
| Place of Publication | Cham |
| Publisher | Springer |
| Publication date | 2020 |
| Pages | 68-75 |
| ISBN (print) | 9783030507251 |
| ISBN (electronic) | 978-3-030-50726-8 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 22nd International Conference on Human-Computer Interaction - HCII 2020 - Copenhagen, Denmark Duration: 19.07.2020 → 24.07.2020 Conference number: 22 http://2020.hci.international/ |
- Mouse movement, User behavior, User identification
- Informatics