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Guiding People Along More Intuitive Indoor Paths

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Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017) (COSIT 2017)

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

Route planning algorithms in indoor navigation systems are currently limited to shortest path algorithms or derivatives. The development of a cognitive route planning algorithm, providing cognitive more comfortable paths to navigators, could improve these systems. The first phase of the development of such an algorithm entails the identification of relevant path characteristics of the indoor environment. Therefore, a user study is enrolled: an in-depth discussion with a focus group of experts is followed by an international online survey.

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Author information

Authors and Affiliations

  1. Ghent University, Krijgslaan 281, Ghent, Belgium

    Nina Vanhaeren, Kristien Ooms & Philippe de Maeyer

Authors
  1. Nina Vanhaeren
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  2. Kristien Ooms
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  3. Philippe de Maeyer
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Corresponding author

Correspondence to Nina Vanhaeren .

Editor information

Editors and Affiliations

  1. Department of Geodesy and Geoinformation, Vienna University of Technology(TU-Wien), Wien, Austria

    Paolo Fogliaroni

  2. Department of Geography, Birkbeck, University of London, London, Middlesex, United Kingdom

    Andrea Ballatore

  3. Department of Industrial and Information Engineering and Economics, University of L'Aquila , L'Aquila, Italy

    Eliseo Clementini

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Vanhaeren, N., Ooms, K., de Maeyer, P. (2018). Guiding People Along More Intuitive Indoor Paths. In: Fogliaroni, P., Ballatore, A., Clementini, E. (eds) Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017). COSIT 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-63946-8_26

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