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Automating unobtrusive personalized services in ambient media environments

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Abstract

In the age of ambient media, people are surrounded by lots of physical objects (media objects) for rendering the digital world in the natural environment. These media objects should interact with users in a way that is not disturbing for them. To address this issue, this work presents a design and automation strategy for augmenting the world around us with personalized ambient media services that behave in a considerate manner. That is, ambient services are capable of adjusting its obtrusiveness level (i.e., the extent to which each service intrudes the user’s mind) by using the appropriate media objects for each user’s situation.

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Notes

  1. http://www.osgi.org/Specifications/HomePage

  2. A video of the software infrastructure in execution is provided in http://www.pros.upv.es/routines.

  3. http://www.osgi.org/

  4. http://www.w3.org/TR/owl-features/

  5. http://www.omg.org/spec/XMI/

  6. www.eclipse.org/modeling

  7. http://www.android.com/

  8. http://www.restlet.org/

  9. Screenshots in http://www.pros.upv.es/routines.

  10. http://www.knx.org

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Acknowledgements

This work has been developed with the support ofMICINN, under the project EVERYWARE TIN2010-18011, and the support of the Christian Doppler Forschungsgesellschaft and the BMWFJ, Austria.

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Authors and Affiliations

  1. Christian Doppler Laboratory “Software Engineering Integration for Flexible Automation Systems”, Vienna University of Technology, Favoritenstrasse 9-11/188, 1040, Vienna, Austria

    Estefanía Serral

  2. Centro de Investigación en Métodos de Producción de Software, Universitat Politècnica de València, Camí de Vera, s/n 46022, València, Spain

    Miriam Gil, Pedro Valderas & Vicente Pelechano

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  1. Estefanía Serral
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  2. Miriam Gil
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  3. Pedro Valderas
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  4. Vicente Pelechano
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Correspondence to Estefanía Serral.

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Serral, E., Gil, M., Valderas, P. et al. Automating unobtrusive personalized services in ambient media environments. Multimed Tools Appl 71, 159–178 (2014). https://doi.org/10.1007/s11042-013-1634-2

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