TY - CHAP

T1 - Assessing User Behavior by Mouse Movements

AU - Matthiesen, Jennifer Jorina

AU - Brefeld, Ulf

N1 - Conference code: 22

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Mouse movement

KW - User behavior

KW - User identification

KW - Informatics

UR - http://www.scopus.com/inward/record.url?scp=85088752669&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-50726-8_9

DO - 10.1007/978-3-030-50726-8_9

M3 - Article in conference proceedings

AN - SCOPUS:85088752669

SN - 9783030507251

T3 - Communications in Computer and Information Science

SP - 68

EP - 75

BT - HCI International 2020 - Posters -

A2 - Stephanidis, Constantine

A2 - Antona, Margherita

PB - Springer

CY - Cham

T2 - 22nd International Conference on Human-Computer Interaction - HCII 2020

Y2 - 19 July 2020 through 24 July 2020

ER -