Abstract
Adaptive passenger information for an enhanced mobility experience may be the next step towards a smart public transport. In our research project, we have developed a multi-device evaluation approach for adaptive passenger information systems of mobile public displays. An adaptive passenger information system needs to be aware of the passenger’s context. In order to fulfill this requirement, we use the passenger’s personal devices like smartphones or smart watches as context sources. In this paper, we describe our approach of a multi-device passenger information system evaluation focusing on privacy aspects. We present three different methods of pseudonyms that were used to visually link the personal information on passenger’s private devices with the displayed information on the public display. In addition, we report on our evaluation results from a user study evaluating the acceptance and the intelligibility of the used visual pseudonyms.
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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). We would like to thank Johannes Bauer and Sarah Eckert for their excellent contribution to this project.
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Titov, W., Tran, H., Keller, C., Schlegel, T. (2020). A Multi-device Evaluation Approach of Passenger Information Systems in Smart 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_25
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