Assessing User Behavior by Mouse Movements

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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.

OriginalspracheEnglisch
TitelHCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings
HerausgeberConstantine Stephanidis, Margherita Antona
Anzahl der Seiten8
ErscheinungsortCham
VerlagSpringer Verlag
Erscheinungsdatum2020
Seiten68-75
ISBN (Print)9783030507251
ISBN (elektronisch)978-3-030-50726-8
DOIs
PublikationsstatusErschienen - 2020
Veranstaltung22nd International Conference on Human-Computer Interaction - HCII 2020 - Copenhagen, Dänemark
Dauer: 19.07.202024.07.2020
Konferenznummer: 22
http://2020.hci.international/

DOI

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Forschende

  1. Anke Schmidt

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