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International Conference on Ubiquitous Computing and Ambient Intelligence

UCAmI 2012: Ubiquitous Computing and Ambient Intelligence pp 274–281Cite as

Exploiting User Feedback for Adapting Mobile Interaction Obtrusiveness

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7656))

Abstract

Ubiquitous computers, such as mobile devices, enable users to always be connected to the environment, making demands on one of the most precious resources of users: human attention. Thus, ubiquitous services should be designed in a considerate manner, demanding user attention only when it is actually required according to user needs. However, as user needs and preferences can change over time, we aim at improving the initial decisions by learning from user’s feedback through experience. We present a method for adapting interaction obtrusiveness automatically based on user’s reaction. Instead of asking the user to re-define his preferences about interaction obtrusiveness configurations, we learn them by means of the received feedback in a way that maximizes user’s satisfaction in a long-term use.

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Author information

Authors and Affiliations

  1. Centro de Investigación en Métodos de Producción de Software, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain

    Miriam Gil & Vicente Pelechano

Authors
  1. Miriam Gil
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  2. Vicente Pelechano
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Editor information

Editors and Affiliations

  1. Castilla – La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    José Bravo

  2. Deusto University, Bilbao, Spain

    Diego López-de-Ipiña

  3. Computer Architecture and Networks Group, School of Computer Science, University of Castilla-La Mancha, Ciudad Real, Spain

    Francisco Moya

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© 2012 Springer-Verlag Berlin Heidelberg

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Gil, M., Pelechano, V. (2012). Exploiting User Feedback for Adapting Mobile Interaction Obtrusiveness. In: Bravo, J., López-de-Ipiña, D., Moya, F. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2012. Lecture Notes in Computer Science, vol 7656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35377-2_38

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  • DOI: https://doi.org/10.1007/978-3-642-35377-2_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35376-5

  • Online ISBN: 978-3-642-35377-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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