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Mobile User Experience in Augmented Reality vs. Maps Interfaces: A Case Study in Public Transportation

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Abstract

This article comprises a study on user experience when interacting with different modes of mobile interfaces. Our emphasis is on application instances commonly found in mobile app stores, which utilize sensor-based augmented reality or two-dimensional zoomable maps to visualize points of interest (POIs) in the vicinity of the user. As a case study, we developed two variants of an Android application addressed to public transportation users. The application displays nearby transit stops along with timetable information of transit services passing-by those stops. We report findings drawn from an empirical field study in real outdoors conditions. The evaluation findings have been cross-checked with logged (usage) data. We aim at eliciting knowledge about user requirements related to mobile application interfaces in this context and evaluating user experience from pragmatic and affective viewpoints.

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Notes

  1. 1.

    http://www.wikitude.com/.

  2. 2.

    https://code.google.com/p/android-augment-reality-framework/.

  3. 3.

    https://developers.google.com/transit/gtfs/.

  4. 4.

    For instance, the GTFS feeds for the metropolitan transport networks of Athens and Paris are 151 MB and 721 MB, respectively. The database storing the Athens GTFS data occupies 278 ΜΒ (due to the redundancy introduced by indices used to speedup information search).

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Acknowledgement

This work has been supported by the CIP-ICT-PSP-2013-2017 Programme under grant agreement no. 621133 (HoPE - “Holistic Personal public Eco-mobility”).

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Correspondence to Damianos Gavalas .

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© 2016 Springer International Publishing Switzerland

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Kamilakis, M., Gavalas, D., Zaroliagis, C. (2016). Mobile User Experience in Augmented Reality vs. Maps Interfaces: A Case Study in Public Transportation. In: De Paolis, L., Mongelli, A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2016. Lecture Notes in Computer Science(), vol 9768. Springer, Cham. https://doi.org/10.1007/978-3-319-40621-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-40621-3_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40620-6

  • Online ISBN: 978-3-319-40621-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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