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Generating Explanations for Pro-active Assistance from Formal Action Descriptions

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Ambient Intelligence (AmI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8309))

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Abstract

In this paper we show how to generate explanations for an automatic assistance system for smart environments. In particular, we address dynamically changing environments in which devices and services can enter and leave at any time. All components employ the same simple action definitions. They are used to analyse the underlying intention, to synthesise a supporting strategy and to generate explanations that provide insights into the internals of the system. As tool of communication, we employ automatically generated question and corresponding answers. We furthermore detect sub-optimal behaviour and provide explanations that help to improve the usage of the system. All explanations are generated in natural language by utilising an intermediate representation as discourse representation structure and the SimpleNLG natural language generation framework.

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Author information

Authors and Affiliations

  1. MMIS, Computer Science, University of Rostock, Germany

    Sebastian Bader

Authors
  1. Sebastian Bader
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Middlesex University, London, UK

    Juan Carlos Augusto

  2. Fraunhofer IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  3. School of Computer Science and Informatics, University College Dublin, Dublin, Ireland

    Rem Collier

  4. Delft University of Technology, 2628 CE, Delft, The Netherlands

    David Keyson

  5. Department of Computer Engineering, Boğaziçi University, Bebek, 34342, Istanbul, Turkey

    Albert Ali Salah

  6. School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore

    Ah-Hwee Tan

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© 2013 Springer International Publishing Switzerland

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Bader, S. (2013). Generating Explanations for Pro-active Assistance from Formal Action Descriptions. In: Augusto, J.C., Wichert, R., Collier, R., Keyson, D., Salah, A.A., Tan, AH. (eds) Ambient Intelligence. AmI 2013. Lecture Notes in Computer Science, vol 8309. Springer, Cham. https://doi.org/10.1007/978-3-319-03647-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-03647-2_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03646-5

  • Online ISBN: 978-3-319-03647-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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