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A Passenger Context Model for Adaptive Passenger Information in Public Transport

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HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility (HCII 2020)

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Abstract

Passengers in public transport expect passenger information to be exact, timely and appropriate to their situation. Therefore, future passenger information systems should adapt to the passenger’s context as precisely as possible. In this paper, we present a context model and describe our architecture for an adaptive, multi-device passenger information system. We will also present adaptation scenarios that show the application of our context model.

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Acknowledgements

This work was conducted within the scope of the research project “SmartMMI - model- and context-based mobility information on smart public displays and mobile devices in public transport” and was funded by the German Federal Ministry of Transport and Digital Infrastructure as part of the mFund initiative (Funding ID: 19F2042A).

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Authors and Affiliations

  1. Institute of Ubiquitous Mobility Systems, Karlsruhe University of Applied Sciences, Moltkestraße 30, 76133, Karlsruhe, Germany

    Christine Keller, Waldemar Titov & Thomas Schlegel

Authors
  1. Christine Keller
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  2. Waldemar Titov
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  3. Thomas Schlegel
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Corresponding author

Correspondence to Christine Keller .

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Editors and Affiliations

  1. Institute of Media Technology, Ilmenau University of Technology, Ilmenau, Germany

    Heidi Krömker

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Keller, C., Titov, W., Schlegel, T. (2020). A Passenger Context Model for Adaptive Passenger Information in Public Transport. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility. HCII 2020. Lecture Notes in Computer Science(), vol 12213. Springer, Cham. https://doi.org/10.1007/978-3-030-50537-0_18

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  • DOI: https://doi.org/10.1007/978-3-030-50537-0_18

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