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Google Indoor Maps or Google Indoor No Maps? Usability Study of an Adapted Mobile Indoor Wayfinding Aid

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HCI International 2020 - Posters (HCII 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1224))

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Abstract

ARC is an adaptive indoor mobile wayfinding system, which was developed based on the results of a previous online survey. The ARC system links data from several sources to enable a route guidance adapted to the environment: the type of route instruction is adapted to the location of the user. In this study, the usability of the system was tested in a smart building by use of a mobile eye-tracker. Five eye tracking measures were analyzed and compared with the space syntax values of the decision points. The results confirm that video instructions can improve support at complex decision points, while symbols might not be supportive enough at these points in the indoor environment. These findings enhance our understanding of the relationship between environment and complexity perception during route guidance, which is essential for supportive indoor route guidance.

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Authors and Affiliations

  1. Department of Geography, Ghent University, Ghent, Belgium

    Laure De Cock, Kristien Ooms, Nico Van de Weghe & Philippe De Maeyer

Authors
  1. Laure De Cock
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  2. Kristien Ooms
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  3. Nico Van de Weghe
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  4. Philippe De Maeyer
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Corresponding author

Correspondence to Laure De Cock .

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Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

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De Cock, L., Ooms, K., Van de Weghe, N., De Maeyer, P. (2020). Google Indoor Maps or Google Indoor No Maps? Usability Study of an Adapted Mobile Indoor Wayfinding Aid. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1224. Springer, Cham. https://doi.org/10.1007/978-3-030-50726-8_54

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  • DOI: https://doi.org/10.1007/978-3-030-50726-8_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50725-1

  • Online ISBN: 978-3-030-50726-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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