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  • 1.
    Minock, Michael
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Mollevik, Johan
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Åsander, Mattias
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Does TTS-based pedestrian navigation work?2014Report (Other academic)
    Abstract [en]

    We seek to test the hypothesis that text-to-speech(TTS) navigation systems can adequately guide pedestrians to unknown destinations in an unfamiliar city. Such systems bypass screenbased, multi-modal techniques and simply speak route following instructions incrementally into the pedestrian’s ear piece. Due to errors in GPS positioning, uncertainty of user heading, poor map quality and potential communication and processing latencies, this becomes a surprisingly challenging task. In our study, subjects are led on an unknown tour on the grounds of Ume˚a University. We evaluated both a human wizard controller as well as a simple decision-tree based controller and compared them to an ideal subject that knows the route. Results give support to our hypothesis that TTS-based navigation systems can adequately guide pedestrians. That said, our experiences point toward immediate and future improvements to make such systems more effective and agreeable. All the software and data behind this work will be open sourced to encourage confirmation, replication and, ultimately, improvement upon our results. This will soon be available for public download at http://janus-system.eu.

  • 2.
    Minock, Michael
    et al.
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Mollevik, Johan
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Åsander, Mattias
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Toward an active database platform for guiding urban pedestrians2012Report (Other academic)
    Abstract [en]

    We present an Android-based platform for incrementally presenting spoken route directions to guide pedestrians to destinations. Our approach makes heavy use of stored procedures and triggers in an underlying PostGIS spatial database. In fact most of the 'intelligence' of our prototype resides in database stored procedures and tables. As such it represents an example of a challenging real world case study for the use of persistent stored modules (PSM) in a complex mobility application. It also provides a platform to study performance tradeoffs for complex event processing over spatial data streams.

  • 3.
    Minock, Michael
    et al.
    School of Computer Science and Communication (CSC), Royal Institute of Technology KTH, Stockholm, Sweden.
    Mollevik, Johan
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Åsander, Mattias
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    Karlsson, Marcus
    Umeå University, Faculty of Science and Technology, Department of Computing Science.
    A test-bed for text-to-speech-based pedestrian navigation systems2013In: Natural Language Processing and Information Systems: 18th International Conference on Applications of Natural Language to Information Systems, NLDB 2013, Salford, UK, June 19-21, 2013. Proceedings / [ed] Elisabeth Métais, Farid Meziane, Mohamad Saraee, Vijayan Sugumaran, Sunil Vadera, Springer Berlin/Heidelberg, 2013, p. 396-399Conference paper (Refereed)
    Abstract [en]

    This paper presents an Android system to support eyes-free, hands-free navigation through a city. The system operates in two distinct modes: manual and automatic. In manual, a human operator sends text messages which are realized via TTS into the subject's earpiece. The operator sees the subject's GPS position on a map, hears the subject's speech, and sees a 1 fps movie taken from the subject's phone, worn as a necklace. In automatic mode, a programmed controller attempts to achieve the same guidance task as the human operator. We have fully built our manual system and have verified that it can be used to successfully guide pedestrians through a city. All activities are logged in the system into a single, large database state. We are building a series of automatic controllers which require us to confront a set of research challenges, some of which we briefly discuss in this paper. We plan to demonstrate our work live at NLDB.

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