On Managing Users’ Attention in Knowledge-Intensive Organizations

  • Dimitris Apostolou
  • Stelios Karapiperis
  • Nenad Stojanovic
Part of the Studies in Computational Intelligence book series (SCI, volume 142)


In this paper we present a novel approach for managing users’ attention in knowledge intensive organizations, which goes beyond informing a user about changes in relevant information towards proactively supporting the user to react on changes. The approach is based on an expressive attention model, which is realized by combining ECA rules with ontologies. We present the architecture of the system, describe its main components and present early evaluation results.


attention management semantic technologies 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Abecker, A., Bernardi, A., Hinkelmann, K., Kühn, O., Sintek, M.: Context-aware, proactive delivery of task-specific information: the Know-More Project. Information Systems Frontiers 2, 253–276 (2000)CrossRefGoogle Scholar
  2. 2.
    Agostini, A., De Michelis, G., Grasso, M.A., Prinz, W., Syri, A.: Contexts, work processes and workspaces. In: Proceedings of the International Workshop on the Design of Cooperative Systems (COOP 1995), INRIA, Antibes, France, pp. 219–238 (1995)Google Scholar
  3. 3.
    Ahn, H.J., Lee, H.J., Cho, K., Park, S.J.: Utilizing knowledge context in virtual collaborative work. Decision Support Systems 39(4), 563–582 (2005)CrossRefGoogle Scholar
  4. 4.
    Budzik, J., Hammond, K.: Watson: Anticipating and contextualizing information needs. In: Proceedings of the Sixty-Second Annual Meeting of the American Society for Information Science (1999)Google Scholar
  5. 5.
    Davenport, T., Beck, J.: The Attention Economy: Understanding the New Currency of Business. Harvard Business School Press (2001)Google Scholar
  6. 6.
    Horvitz, E., Kadie, C.M., Paek, T., Hovel, D.: Models of attention in computing and communication: From principles to applications. Communications of the ACM 46(3), 52–59 (2003)CrossRefGoogle Scholar
  7. 7.
    Maglio, P.P., Campbell, C.S., Barrett, R., Selker, T.: An architecture for developing attentive information systems. In: Knowledge-Based Systems, vol. 14, pp. 103–110. Elsevier, Amsterdam (2001)Google Scholar
  8. 8.
    Maus, H.: Workflow context as a means for intelligent information support. In: Akman, V., Bouquet, P., Thomason, R.H., Young, R.A. (eds.) CONTEXT 2001. LNCS (LNAI), vol. 2116, pp. 261–274. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  9. 9.
    Roda, C., Thomas, J.: Attention Aware Systems: Theory, Application, and Research Agenda. Computers in Human Behaviour 22, 557–587 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Dimitris Apostolou
    • 1
  • Stelios Karapiperis
    • 1
  • Nenad Stojanovic
    • 2
  1. 1.University of PiraeusPiraeusGreece
  2. 2.FZI at the University of KarlsruheKarlsruheGermany

Personalised recommendations