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Challenges of Human Behavior Understanding for Inducing Behavioral Change

  • Albert Ali Salah
  • Bruno Lepri
Part of the Communications in Computer and Information Science book series (CCIS, volume 277)

Abstract

We summarize the contributions presented at the 2nd International Workshop on Human Behavior Understanding (HBU’11) and the subsequent discussions. The scientific contributions focused on techniques and algorithmic aspects of human behavior analysis, including visual and audio modalities, as well as the design aspect of persuasive systems. One important conclusion of the workshop is that while persuasive systems and carefully designed persuasive messages form the crux of inducing behavior change, the design of systems informed by large-scale analysis of human behavior can also lead to engineered contexts for affecting behavior, at different resolutions ranging from an individual level (e.g. mobile platforms or smart homes) to urban level (e.g. carefully planned cities).

Keywords

Smart Home Mobile Platform Urban Level Ambient Intelligence Mobile Phone Usage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Salah, A.A., Gevers, T., Sebe, N., Vinciarelli, A. (eds.): HBU 2010. LNCS, vol. 6219. Springer, Heidelberg (2010)Google Scholar
  2. 2.
    Salah, A.A., Lepri, B. (eds.): HBU 2011. LNCS, vol. 7065. Springer, Heidelberg (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Albert Ali Salah
    • 1
  • Bruno Lepri
    • 2
    • 3
  1. 1.Department of Computer EngineeringBoğaziçi UniversityIstanbulTurkey
  2. 2.FBKPovoItaly
  3. 3.MIT Media LabCambridgeUSA

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