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European Conference on Advances in Databases and Information Systems

ADBIS 2019: Advances in Databases and Information Systems pp 186–197Cite as

Web-Navigation Skill Assessment Through Eye-Tracking Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11695))

Abstract

Eye-tracking data provide many new options in domain of user modeling. In our work we focus on the automatic detection of web-navigation skill from eye-tracking data. We strive to gain a comprehensive view on the impact of navigation skills on addressing specific user studies and overall interaction on the Web. We proposed an approach for estimating the web navigation skill, with support of self-evaluation questionnaire. We have conducted eye-tracking study with 123 participants. Dataset from this study serves as a base for exploration analysis. We pair different web-navigation behavior metrics with result score from our questionnaire in order to find differences between participant groups. The results of the classification show that some stimuli are more appropriate than others.

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Notes

  1. 1.

    https://www.microsoft.com/en-us/DigitalLiteracy.

  2. 2.

    https://www.digitalliteracyassessment.org/.

  3. 3.

    https://forms.ets.org/sf/iskills/rfi/.

  4. 4.

    https://fivesecondtest.com/.

  5. 5.

    https://www.nngroup.com/articles/how-long-do-users-stay-on-web-pages/.

  6. 6.

    http://eyetracking.hlavac.sk/web-navigation/.

  7. 7.

    http://eyetracking.hlavac.sk/web-navigation/q_description.pdf.

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Acknowledgement

This work was partially supported by the Slovak Research and Development Agency under the contracts No. APVV-15-0508, APVV SK-IL-RD-18-0004, grants No. VG 1/0725/19, VG 1/0409/17. The authors would like to thank for financial contribution from the STU Grant scheme for Support of Young Researchers.

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Authors and Affiliations

  1. Faculty of Informatics and Information Technologies, Slovak Technical University, 811 07, Bratislava, Slovakia

    Patrik Hlavac, Jakub Simko & Maria Bielikova

Authors
  1. Patrik Hlavac
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  2. Jakub Simko
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  3. Maria Bielikova
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Corresponding author

Correspondence to Patrik Hlavac .

Editor information

Editors and Affiliations

  1. University of Maribor, Maribor, Slovenia

    Tatjana Welzer

  2. Alpen-Adria Universität Klagenfurt, Klagenfurt, Austria

    Johann Eder

  3. University of Maribor, Maribor, Slovenia

    Vili Podgorelec

  4. University of Maribor, Maribor, Slovenia

    Aida Kamišalić Latifić

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Hlavac, P., Simko, J., Bielikova, M. (2019). Web-Navigation Skill Assessment Through Eye-Tracking Data. In: Welzer, T., Eder, J., Podgorelec, V., Kamišalić Latifić, A. (eds) Advances in Databases and Information Systems. ADBIS 2019. Lecture Notes in Computer Science(), vol 11695. Springer, Cham. https://doi.org/10.1007/978-3-030-28730-6_12

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  • DOI: https://doi.org/10.1007/978-3-030-28730-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28729-0

  • Online ISBN: 978-3-030-28730-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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