Assessing User Behavior by Mouse Movements

Jennifer Jorina Matthiesen; Ulf Brefeld

doi:10.1007/978-3-030-50726-8_9

Assessing User Behavior by Mouse Movements

Jennifer Jorina Matthiesen^*
, Ulf Brefeld

^*Korrespondierende/r Autor/-in für diese Arbeit

Professur für Wirtschaftsinformatik, insbesondere Machine Learning

Leuphana Universität Lüneburg

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

6 Zitate (Scopus)

Abstract

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.

Originalsprache	Englisch
Titel	HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings
Redakteure/-innen	Constantine Stephanidis, Margherita Antona
Seitenumfang	8
Erscheinungsort	Cham
Herausgeber (Verlag)	Springer Verlag
Erscheinungsdatum	2020
Seiten	68-75
ISBN (Print)	9783030507251
ISBN (elektronisch)	978-3-030-50726-8
DOIs	https://doi.org/10.1007/978-3-030-50726-8_9
Publikationsstatus	Erschienen - 2020
Veranstaltung	22nd International Conference on Human-Computer Interaction - HCII 2020 - Copenhagen, Online, Copenhagen, Dänemark Dauer: 19.07.2020 → 24.07.2020 Konferenznummer: 22 http://2020.hci.international/index.html http://2020.hci.international/duxu.html http://2020.hci.international/

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

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Matthiesen, JJ & Brefeld, U 2020, Assessing User Behavior by Mouse Movements. in C Stephanidis & M Antona (Hrsg.), HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings. Communications in Computer and Information Science, Bd. 1224 CCIS, Springer Verlag, Cham, S. 68-75, 22nd International Conference on Human-Computer Interaction - HCII 2020, Copenhagen, Dänemark, 19.07.20. https://doi.org/10.1007/978-3-030-50726-8_9

Assessing User Behavior by Mouse Movements. / Matthiesen, Jennifer Jorina ; Brefeld, Ulf.
HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings. Hrsg. / Constantine Stephanidis; Margherita Antona. Cham: Springer Verlag, 2020. S. 68-75 (Communications in Computer and Information Science; Band 1224 CCIS).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

TY - CHAP

T1 - Assessing User Behavior by Mouse Movements

AU - Matthiesen, Jennifer Jorina

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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.

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KW - User behavior

KW - User identification

KW - Informatics

UR - https://www.scopus.com/pages/publications/85088752669

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

M3 - Article in conference proceedings

AN - SCOPUS:85088752669

SN - 9783030507251

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BT - HCI International 2020 - Posters -

A2 - Stephanidis, Constantine

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PB - Springer Verlag

CY - Cham

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

Y2 - 19 July 2020 through 24 July 2020

ER -

Assessing User Behavior by Mouse Movements

Abstract

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