perCues: Trails of Persuasion for Ambient Intelligence

  • Manfred Tscheligi
  • Wolfgang Reitberger
  • Christoph Obermair
  • Bernd Ploderer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3962)


The realization of the ambient intelligence (AmI) vision will have a profound impact on our everyday lives and society. AmI applied in contexts like homes or public spaces will not only affect individual users but influence entire groups of users. The question is how we can apply such technologies to persuade groups and individual users. Our approach is to design AmI environments by borrowing a concept which works very well in biological and social systems: Collective Intelligence (CI). The intelligence of a group surpasses the individual intelligences and leads to improved problem solving capabilities of individuals and groups. From nature we borrow examples of cues in the environment to stimulate goal directed collective intelligence (perCues). The application of perCues in AmI environments helps to persuade users to reach a common goal like decreasing environmental pollution. Adopting CI for AmI we blaze a trail for the design of persuasive AmI environments.


Mobile Phone Public Space Individual User Collective Intelligence Ambient Intelligence 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Weiser, M.: The Computer for the Twenty-First Century. Scientific American, 94–104 (1991)Google Scholar
  2. 2.
    Aarts, E., Marzano, S.: The New Everyday: Views on Ambient Intelligence. 010 Publishers, Rotterdam (2003)Google Scholar
  3. 3.
    Lorge, I., Fox, D., Davitz, J., Brenner, M.: A survey of studies contrasting the quality of group performance and individual performance, 1920-1957. Psychological Bulletin American Psychological Assn 55, 337–372 (1958)Google Scholar
  4. 4.
    Engelbart, D., Ruilifson, J.: Bootstrapping our collective intelligence. ACM Comput. Surv. 31, 38 (1999)CrossRefGoogle Scholar
  5. 5.
    Lévy, P.: Collective Intelligence: Mankind’s Emerging World in Cyberspace. Plenum Publishing Corp., Cambridge (1997)Google Scholar
  6. 6.
    Hutchins, E.: Cognition in the Wild. MIT Press, Cambridge (1995)Google Scholar
  7. 7.
    de Ruyter, B., Saini, P., Markopoulos, P., van Breemen, A.: Assessing the effects of building social intelligence in a robotic interface for the home. Interacting with Computers 17(5), 522–541 (2005)CrossRefGoogle Scholar
  8. 8.
    Wehner, R.: Miniaturgehirne und kollektive Intelligenz: Zur Evolution biologischer Komplexität. Zürcher Universitätsschriften 3 (2001)Google Scholar
  9. 9.
    Lawson, J.W., Wolpert, D.H.: The design of collectives of agents to control non-Markovian systems, pp. 332–337 (2002)Google Scholar
  10. 10.
    Shirvanee, L., Davenport, G.: The Viscous Display: a transient adaptive interface for collective play in public space, pp. 259–263 (2004)Google Scholar
  11. 11.
    Graggaber, M., Sperka, G.: Kyoto-Optionenbericht Salzburg. Expertenbericht der Arbeitsgruppe Klimaschutz, Land Salzburg (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Manfred Tscheligi
    • 1
  • Wolfgang Reitberger
    • 1
  • Christoph Obermair
    • 1
  • Bernd Ploderer
    • 1
  1. 1.HCI&Usability Unit, ICT&S CenterUniversity of SalzburgSalzburgAustria

Personalised recommendations