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Pixel-Based Analysis of Information Dashboard Attributes

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New Trends in Databases and Information Systems (ADBIS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 637))

Abstract

This paper focuses on pixel-based usability guidelines and their use for an information dashboard user interface. The first part of the paper examines existing usability design advices, presents existing pixel-based metrics and make suggestions of new ones. The second part presents results of pixel-based analyses performed on two groups of well-designed dashboards and randomly chosen dashboards. Results of these two groups are compared and their differences are discussed.

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Notes

  1. 1.

    The smallest width was 175 px and the smallest height was 130 px. There was no reason to include dashboards with smaller resolution, because they were readable with difficulties. The experiment was focused only on dashboard with sufficient resolution.

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Acknowledgment

This work was supported by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project “IT4Innovations excellence in science – LQ1602”.

Author information

Authors and Affiliations

  1. Department of Information Systems, Faculty of Information Technology, Brno University of Technology, Božetěchova 1/2, Brno, Czech Republic

    Jiří Hynek

  2. IT4Innovations Centre of Excellence, Faculty of Information Technology, Brno University of Technology, Božetěchova 1/2, Brno, Czech Republic

    Tomáš Hruška

Authors
  1. Jiří Hynek
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  2. Tomáš Hruška
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Corresponding author

Correspondence to Jiří Hynek .

Editor information

Editors and Affiliations

  1. Faculty of Sciences, University of Novi Sad Faculty of Sciences, Novi Sad, Serbia

    Mirjana Ivanović

  2. Christian-Albrechts-Universität Kiel, Kiel, Germany

    Bernhard Thalheim

  3. University of Genoa, Genoa, Italy

    Barbara Catania

  4. Software Competence Cent. Hagenberg GmbH, Hagenberg, Austria

    Klaus-Dieter Schewe

  5. Riga Technical University, Riga, Latvia

    Mārīte Kirikova

  6. VSB-Technical University Ostrava, Ostrava, Czech Republic

    Petr Šaloun

  7. Georgia College and State University, Milledgeville, Georgia, USA

    Ajantha Dahanayake

  8. Politecnico di Torino, Torino, Italy

    Tania Cerquitelli

  9. Politecnico di Torino , Torino, Italy

    Elena Baralis

  10. EURECOM, Biot Sophia Antipolis cedex, France

    Pietro Michiardi

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Hynek, J., Hruška, T. (2016). Pixel-Based Analysis of Information Dashboard Attributes. In: Ivanović, M., et al. New Trends in Databases and Information Systems. ADBIS 2016. Communications in Computer and Information Science, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-44066-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-44066-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44065-1

  • Online ISBN: 978-3-319-44066-8

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