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Knowledge vs. Support

Approaching a Benchmark for Privacy in AmI

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Ambient Intelligence (AmI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9425))

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Abstract

Privacy is recognized as one of the key factors regarding the acceptance of ambient intelligence (AmI). However, privacy is neglected in many projects. We address a formal representation of AmI allowing to model systems including privacy expectations and assumptions. In order to be able to compare systems, either existing or theoretically defined, we develop a benchmark framework that is based on this formal representation. We demonstrate the applicability of our approach with a system implementing two different privacy settings.

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Notes

  1. 1.

    Currently, we define only the set of binary relations, due to readability and simplicity. However, this can be changed to any arity of relation without influence on the remaining representation specification.

  2. 2.

    In general, usage of \(\diamond [t_i,t_j]\) is possible, but would lead to multiple interpretations of a single knowledge base.

  3. 3.

    In [15] data is collected at three different locations in the reasoning cycle. In general, we assume subsequent adaption of existing systems unfeasible.

  4. 4.

    We randomly decided to use this duration and also assume a maximal duration of 1000 milliseconds between reasoning cycles.

  5. 5.

    We applied a computer featuring an Intel Core i7-2600 CPU and 16 GB memory.

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Acknowledgement

We acknowledge German Research Foundation (DFG) funding for project SOCIAL (FR 806/15-1). We thank the four anonymous reviewers for their thoughtful and constructive comments.

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Authors and Affiliations

  1. Cognitive Systems Group, University of Bremen, Bremen, Germany

    Jasper van de Ven & Frank Dylla

Authors
  1. Jasper van de Ven
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  2. Frank Dylla
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Corresponding author

Correspondence to Jasper van de Ven .

Editor information

Editors and Affiliations

  1. Philips Research, Eindhoven, The Netherlands

    Boris De Ruyter

  2. Hellenic Open University, Patras, Greece

    Achilles Kameas

  3. Institute of Thessaloniki, Alexander Technological Educational, Sindos, Greece

    Periklis Chatzimisios

  4. Hellenic Open University, Patras, Greece

    Irene Mavrommati

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van de Ven, J., Dylla, F. (2015). Knowledge vs. Support. In: De Ruyter, B., Kameas, A., Chatzimisios, P., Mavrommati, I. (eds) Ambient Intelligence. AmI 2015. Lecture Notes in Computer Science(), vol 9425. Springer, Cham. https://doi.org/10.1007/978-3-319-26005-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-26005-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26004-4

  • Online ISBN: 978-3-319-26005-1

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