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International Conference on User Modeling, Adaptation, and Personalization

UMAP 2015: User Modeling, Adaptation and Personalization pp 350–356Cite as

Understanding Real-Life Website Adaptations by Investigating the Relations Between User Behavior and User Experience

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9146))

Abstract

We study how a website adaptation based on segment predictions from click streams affects visitor behavior and user experience. Through statistical analysis we investigate how the adaptation changed actual behavior. Through structural equation modeling of subjective experience we answer why the change in behavior occurred. The study shows the value of using survey data for constructing and evaluating predictive models. It additionally shows how a website adaptation influences user experience and how this in turn influences visitor behavior.

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Author information

Authors and Affiliations

  1. Human-Technology Interaction Group, Eindhoven University of Technology, IPO 0.20, 5600 MB, Eindhoven, The Netherlands

    Mark P. Graus, Martijn C. Willemsen & Kevin Swelsen

Authors
  1. Mark P. Graus
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  2. Martijn C. Willemsen
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  3. Kevin Swelsen
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Corresponding author

Correspondence to Mark P. Graus .

Editor information

Editors and Affiliations

  1. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Francesco Ricci

  2. University of Sheffield, Sheffield, United Kingdom

    Kalina Bontcheva

  3. Trinity College Dublin, Dublin, Ireland

    Owen Conlan

  4. Trinity College Dublin, Dublin, Ireland

    Séamus Lawless

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Graus, M.P., Willemsen, M.C., Swelsen, K. (2015). Understanding Real-Life Website Adaptations by Investigating the Relations Between User Behavior and User Experience. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds) User Modeling, Adaptation and Personalization. UMAP 2015. Lecture Notes in Computer Science(), vol 9146. Springer, Cham. https://doi.org/10.1007/978-3-319-20267-9_30

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  • DOI: https://doi.org/10.1007/978-3-319-20267-9_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20266-2

  • Online ISBN: 978-3-319-20267-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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