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A User Trust Model for Automatic Decision-Making in Ubiquitous and Self-Adaptive Environments

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Trustworthy Open Self-Organising Systems

Part of the book series: Autonomic Systems ((ASYS))

Abstract

Ubiquitous Environments are able to support users during their daily life by intelligently self-adapting to changed contexts. Examples include home automation systems which can support energy saving by switching off unused devices or public displays which enable users to present and interact with data, but maintain the users’ privacy by hiding sensible data if others pass by. However, such proactive adaptations could also cause frustration and thus harm the users’ acceptance and trust towards a system if they do not match the users’ preferences or are not self-explanatory. In the worst case, wrong or incomprehensible decisions by the system even could make the users abandon the system. To address this concern, we propose a generic trust-based model, called User Trust Model (UTM), which facilitates automatic decision-making in ubiquitous and self-adaptive environments. It is supposed to monitor users’ trust in the system and to select context-aware system actions that maintain, restore, or even foster user trust. In this chapter, the construction of the generic model as well as its integration into two case studies will be presented. We will provide a detailed description of how to customise the UTM for the respective scenarios and share results and experiences from various studies conducted with the developed systems.

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Notes

  1. 1.

    http://arduino.cc/

  2. 2.

    http://www.homematic.com/

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Acknowledgements

This research is partly sponsored by the research unit OC-Trust (FOR 1085) of the German Research Foundation.

The authors would like to thank Karin Bee and Ekaterina Kurdyukova for their contributions to the work presented in this chapter.

The core of our implementation is based on the SMILE reasoning engine and the networks shown in this chapter were created using the GeNIe modelling environment. Both SMILE and GeNIe are developed and contributed to the community by the Decision Systems Laboratory, University of Pittsburgh and available at http://genie.sis.pitt.edu/.

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Authors and Affiliations

  1. Human-Centered Multimedia, University of Augsburg, Augsburg, Germany

    Stephan Hammer, Michael Wißner & Elisabeth André

Authors
  1. Stephan Hammer
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  2. Michael Wißner
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  3. Elisabeth André
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Corresponding author

Correspondence to Stephan Hammer .

Editor information

Editors and Affiliations

  1. Institute for Software and Systems Engin, University of Augsburg, Augsburg, Germany

    Wolfgang Reif

  2. Institute for Software and Systems Engin, University of Augsburg, Augsburg, Bayern, Germany

    Gerrit Anders

  3. Institute for Software and Systems Engin, University of Augsburg, Augsburg, Germany

    Hella Seebach

  4. Department of Computer Science and Engin, Chalmers University of Technology Univer, Gothenburg, Sweden

    Jan-Philipp Steghöfer

  5. Human-Centered Multimedia, University of Augsburg, Augsburg, Germany

    Elisabeth André

  6. Organic Computing Group, University of Augsburg, Augsburg, Bayern, Germany

    Jörg Hähner

  7. Institute of Systems Engineering, University of Hannover, Hannover, Germany

    Christian Müller-Schloer

  8. Systems and Networking Group, University of Augsburg, Augsburg, Germany

    Theo Ungerer

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Hammer, S., Wißner, M., André, E. (2016). A User Trust Model for Automatic Decision-Making in Ubiquitous and Self-Adaptive Environments. In: Reif, W., et al. Trustworthy Open Self-Organising Systems. Autonomic Systems. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-29201-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-29201-4_3

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  • Publisher Name: Birkhäuser, Cham

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