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Estimating Gender and Age of Web Page Visitors from the Way They Use Their Mouse

Authors:

Peter Kratky,

Daniela ChudaAuthors Info & Claims

WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web

Pages 61 - 62

https://doi.org/10.1145/2872518.2889384

Published: 11 April 2016 Publication History

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Abstract

Biometric data are affected by physiological properties of people, including gender or age. The paper describes an experiment of discovering gender and age in computer mouse movement data that might be notably beneficial for profiling anonymous visitors browsing the Web. The proposed method extracts features, such as velocity, path straightness or pauses duration, that are used by a multiclassifier system to make an estimate. Age category estimation shows encouraging results of the early method, especially for statistical analysis of a website audience.

References

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D. Chudá and P. Krátky. Grouping Instances in kNN for Classification Based on Computer Mouse Features. In Proceedings of the 16th International Conference on Computer Systems and Technologies, pages 214--220, 2015.

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A. Dantcheva, C. Velardo, A. D'Angelo, and J.-L. Dugelay. Bag of soft biometrics for person identification. Multimedia Tools and Applications, 51(2):739--777, 2011.

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M. Fairhurst and M. Da Costa-Abreu. Using keystroke dynamics for gender identification in social network environment. In 4th International Conference on Imaging for Crime Detection and Prevention 2011 (ICDP 2011), pages 1--6, London, 2011. IET.

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S. Z. S. Idrus, E. Cherrier, C. Rosenberger, and P. Bours. Soft biometrics for keystroke dynamics: Profiling individuals while typing passwords. Computers & Security, 45:147--155, 2014.

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Cited By

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Kuric EDemcak PKrajcovic MNemcek P(2024)Is mouse dynamics information credible for user behavior research? An empirical investigationComputer Standards & Interfaces10.1016/j.csi.2024.10384990:COnline publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1016/j.csi.2024.103849
Lemarquis DYilma BLeiva L(2023)What can a swiped word tell us more? Demographic and behavioral correlates from shape-writing text entryNeural Computing and Applications10.1007/s00521-023-08559-035:21(15531-15548)Online publication date: 13-Apr-2023
https://doi.org/10.1007/s00521-023-08559-0
Earl SCampbell JBuckley O(2021)Identifying Soft Biometric Features from a Combination of Keystroke and Mouse DynamicsAdvances in Human Factors in Robots, Unmanned Systems and Cybersecurity10.1007/978-3-030-79997-7_23(184-190)Online publication date: 27-Jun-2021
https://doi.org/10.1007/978-3-030-79997-7_23
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Index Terms

Estimating Gender and Age of Web Page Visitors from the Way They Use Their Mouse
1. Information systems
  1. World Wide Web
    1. Web mining

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Information & Contributors

Information

Published In

WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web

April 2016

1094 pages

ISBN:9781450341448

General Chairs:
Jacqueline Bourdeau
Tele-university (TELUQ), Montreal, QC, Canada
,
Jim A. Hendler
Rensselaer Polytechnic Institute, Troy, NY, USA
,
Roger Nkambou Nkambou
Université du Québec à Montréal, Montreal, QC, Canada
,
Program Chairs:
Ian Horrocks
University of Oxford, UK
,
Ben Y. Zhao
University of California at Santa Barbara, CA, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 11 April 2016

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Poster

Funding Sources

Scientic Grant Agency of Slovak Republic

Conference

WWW '16

Sponsor:

IW3C2

WWW '16: 25th International World Wide Web Conference

April 11 - 15, 2016

Québec, Montréal, Canada

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WWW '16 Companion Paper Acceptance Rate 115 of 727 submissions, 16%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Citations

Cited By

View all

Kuric EDemcak PKrajcovic MNemcek P(2024)Is mouse dynamics information credible for user behavior research? An empirical investigationComputer Standards & Interfaces10.1016/j.csi.2024.10384990:COnline publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1016/j.csi.2024.103849
Lemarquis DYilma BLeiva L(2023)What can a swiped word tell us more? Demographic and behavioral correlates from shape-writing text entryNeural Computing and Applications10.1007/s00521-023-08559-035:21(15531-15548)Online publication date: 13-Apr-2023
https://doi.org/10.1007/s00521-023-08559-0
Earl SCampbell JBuckley O(2021)Identifying Soft Biometric Features from a Combination of Keystroke and Mouse DynamicsAdvances in Human Factors in Robots, Unmanned Systems and Cybersecurity10.1007/978-3-030-79997-7_23(184-190)Online publication date: 27-Jun-2021
https://doi.org/10.1007/978-3-030-79997-7_23
Leiva LArapakis I(2020)The Attentive Cursor DatasetFrontiers in Human Neuroscience10.3389/fnhum.2020.56566414Online publication date: 16-Nov-2020
https://doi.org/10.3389/fnhum.2020.565664
Chen ZLu XAi WLi HMei QLiu XChampin PGandon FMédini LLalmas MIpeirotis P(2018)Through a Gender LensProceedings of the 2018 World Wide Web Conference10.1145/3178876.3186157(763-772)Online publication date: 10-Apr-2018
https://dl.acm.org/doi/10.1145/3178876.3186157
Krátky PRepiský TChudá D(2017)Is the Visitor Reading or Navigating?Proceedings of the 18th International Conference on Computer Systems and Technologies10.1145/3134302.3134330(80-87)Online publication date: 23-Jun-2017
https://dl.acm.org/doi/10.1145/3134302.3134330
Pentel ABielikova MHerder EDesmarais MCena F(2017)Predicting Age and Gender by Keystroke Dynamics and Mouse PatternsAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3099023.3099105(381-385)Online publication date: 9-Jul-2017
https://dl.acm.org/doi/10.1145/3099023.3099105

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