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Assessing Similarity for Case-Based Web User Interface Design

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Digital Transformation and Global Society (DTGS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 858))

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Abstract

It has been said “all design is redesign”, and it is particularly true for websites, whose number in the today’s online environment has reached 1 billion. In our paper, we justify case-based approach (CBR) to designing web user interfaces (WUIs) and outline some currently unsolved problems with its application. In this research work, we focus on definition and measurement of similarity, which is essential for all the stages of the CBR process: Retrieve, Reuse, Revise, and Retain. We specify the structure of a case in the web design domain (corresponding to a web project) and outline the ways to measure similarity based on the feature values. Further, we construct artificial neural network model to predict target users’ subjective similarity assessments of websites that relies on website metrics collected by our dedicated “human-computer vision” software. To train the model, we also ran experimental survey with 127 participants evaluating 21 university websites. The analysis of the factors’ importance suggests that frequency-based entropy measure and the proposed index of difficulty for visual perception affected subjective similarity the most. We believe the described approach can facilitate design reuse on the web, contributing to efficient development of more usable websites crucial for the e-society advancement.

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Acknowledgement

The reported study was funded by RFBR according to the research project No. 16-37-60060 mol_a_dk. We also thank those who contributed to developing the visual analyzer software and collecting the human assessments: Sebastian Heil, Markus Keller, and Vladimir Khvorostov.

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Authors and Affiliations

  1. Novosibirsk State Technical University, Novosibirsk, Russia

    Maxim Bakaev

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  1. Maxim Bakaev
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Correspondence to Maxim Bakaev .

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Editors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Daniel A. Alexandrov

  2. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Andrei V. Chugunov

  4. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

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Bakaev, M. (2018). Assessing Similarity for Case-Based Web User Interface Design. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O. (eds) Digital Transformation and Global Society. DTGS 2018. Communications in Computer and Information Science, vol 858. Springer, Cham. https://doi.org/10.1007/978-3-030-02843-5_28

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  • DOI: https://doi.org/10.1007/978-3-030-02843-5_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02842-8

  • Online ISBN: 978-3-030-02843-5

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