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Personalized Persuasion in Ambient Intelligence: The APStairs System

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Ambient Intelligence (AmI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7040))

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Abstract

Can ubiquitous technologies intended to change people’s behavior benefit from personalization? This paper addresses the development of an adaptive persuasive system intended to increase stair climbing at work: APStairs. Based on their persuasion profile, individuals are distinguished by their susceptibility to different social influence strategies. This paper contributes a first application of persuasion profiling in the domain of ambient intelligence; it reports the deployment of the APStairs system in a real life setting for a period of five weeks involving 34 participants. Although a longer deployment period is needed to statistically validate the system, this first deployment of the system has shown the feasibility of adaptive persuasion.

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References

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Author information

Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Netherlands

    Ryo Sakai, Sarah Van Peteghem, Leoni van de Sande & Peter Banach

  2. Philips Research, Eindhoven University of Technology, Netherlands

    Maurits Kaptein

Authors
  1. Ryo Sakai
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  2. Sarah Van Peteghem
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  3. Leoni van de Sande
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  4. Peter Banach
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  5. Maurits Kaptein
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Editor information

Editors and Affiliations

  1. Delft University of Technology, Landbergstraat 15, 2628CE, Delft, The Netherlands

    David V. Keyson

  2. College of Information Studies, University of Maryland, College Park, 2117E Hornbake Hall, 20742-4345, Marylandm, USA

    Mary Lou Maher

  3. Smart Future Initiative, Konrad-Zuse-Str. 43, 60438, Frankfurt, Germany

    Norbert Streitz

  4. Keio University, Japan and National University of Singapore, Heng Miu Keng Terrace 02-01-01A, 119613, Singapore

    Adrian Cheok

  5. School of Computing and Mathematics, University of Ulster, Shore Road, BT37 0QB, Newtownabbey, Co. Antrim, UK

    Juan Carlos Augusto

  6. Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  7. Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Gwenn Englebienne

  8. Ambient Intelligence Research Lab., Stanford University and Ghent University, 350 Serra Mall, David Packard #318, 94305-9515, Stanford, CA, USA

    Hamid Aghajan

  9. Informatics Institute, University of Amsterdam and Amsterdam University of Applied Sciences, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Ben J. A. Kröse

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© 2011 Springer-Verlag Berlin Heidelberg

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Sakai, R., Van Peteghem, S., van de Sande, L., Banach, P., Kaptein, M. (2011). Personalized Persuasion in Ambient Intelligence: The APStairs System. In: Keyson, D.V., et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_26

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  • DOI: https://doi.org/10.1007/978-3-642-25167-2_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25166-5

  • Online ISBN: 978-3-642-25167-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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