Explanations and Context in Ambient Intelligent Systems

  • Anders Kofod-Petersen
  • Jörg Cassens
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4635)


Ambient intelligent systems are context aware by perceiving and reasoning about their environment, they perceive the needs of their users and proactively respond to these needs by being context sensitive. Users do not interact with these systems by traditional means only, but also through behavioural interfaces. This combination of mixed initiative systems and unconventional interfaces puts strong requirements on the explanatory capabilities of any system. The work presented here focuses on explaining the behaviour of an ambient intelligent systems to its users. It demonstrates how explanations can be combined with context to deal with the different types of explanations that are required for a meaningful interaction of a system and its users.


Activity Theory Ambient Intelligent Context Awareness Context Sensitivity Explanatory Capability 
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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  1. 1.
    Weiser, M.: The computer for the 21st century. Scientific American, 94–104 (1991)Google Scholar
  2. 2.
    Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: ISTAG scenarios for ambient intelligence in 2010. Technical report, IST Advisory Group (2001)Google Scholar
  3. 3.
    Kofod-Petersen, A., Aamodt, A.: Contextualised ambient intelligence through case-based reasoning. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, pp. 211–225. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    Yau, S.S., Wang, Y., Karim, F.: Development of situation-aware application software for ubiquitous computing environments. In: 29th Annual International Computer Software and Applications Conference (COMPSAC 2002), Edinburgh, Scotland, vol. 1, pp. 107–112. IEEE Computer Society, Los Alamitos (2002)CrossRefGoogle Scholar
  5. 5.
    Marx, K.: Das Kapital, Band 1: Der Produktionsprozeß des Kapitals. In: Marx Engels Werke (MEW). Marx Engels Werke (MEW), vol. 23, Dietz-Verlag, Berlin (1867)Google Scholar
  6. 6.
    Vygotski, L.S.: Mind in Society. Harvard University Press, Cambridge (1978)Google Scholar
  7. 7.
    Leont’ev, A.N.: Activity, Consciousness, and Personality. Prentice-Hall, Englewood Cliffs (1978)Google Scholar
  8. 8.
    Turing, A.: Computing machinery and intelligence. Mind LIX, 433–460 (1950)Google Scholar
  9. 9.
    Kant, I.: Kritik der reinen Vernunft (2. Auflage). Akademie (1787)Google Scholar
  10. 10.
    Kant, I.: Anthropologie in pragmatischer Hinsicht. Akademie (1798)Google Scholar
  11. 11.
    Kant, I.: Kritik der praktischen Vernunft. Akademie (1788)Google Scholar
  12. 12.
    Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications 7, 39–59 (1994)Google Scholar
  13. 13.
    Schank, R.C.: Explanation Patterens – Understanding Mechanically and Creatively. Lawrence Erlbaum, New York (1986)Google Scholar
  14. 14.
    Schank, R., Abelson, R.: Scripts, Plans, Goals and Understanding. Lawrence Erlbaum, Mahwah (1977)zbMATHGoogle Scholar
  15. 15.
    Bartlett, F.C.: Remembering: A study in Experimental and Social Psychology. Cambridge University Press, Cambridge (1932)Google Scholar
  16. 16.
    Rumelhart, D.E.: Schemata: The building blocks of cognition. In: Spiro, R.J., Bruve, B., Brewer, W.F. (eds.) Theoretical Issues in Reading and Comprehension, Lawrence Erlbaum Assoc. Inc., Mahwah (1980)Google Scholar
  17. 17.
    Sørmo, F., Cassens, J., Aamodt, A.: Explanation in case-based reasoning – perspectives and goals. Artificial Intelligence Review 24, 109–143 (2005)zbMATHCrossRefGoogle Scholar
  18. 18.
    Leake, D.B.: Goal-based explanation evaluation. In: Goal-Driven Learning, pp. 251–285. MIT Press, Cambridge (1995)Google Scholar
  19. 19.
    Roth-Berghofer, T.R.: Explanations and case-based reasoning: Foundational issues. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 389–403. Springer, Heidelberg (2004)Google Scholar
  20. 20.
    Richter, M.M.: The knowledge contained in similarity measures. In: Aamodt, A., Veloso, M.M. (eds.) Case-Based Reasoning Research and Development. LNCS, vol. 1010, Springer, Heidelberg (1995)Google Scholar
  21. 21.
    Roth-Berghofer, T.R., Cassens, J.: Mapping goals and kinds of explanations to the knowledge containers of case-based reasoning systems. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 451–464. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  22. 22.
    Kofod-Petersen, A., Cassens, J.: Using activity theory to model context awareness. In: Roth-Berghofer, T.R., Schulz, S., Leake, D.B. (eds.) MRC 2005. LNCS (LNAI), vol. 3946, pp. 1–17. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  23. 23.
    Cassens, J., Kofod-Petersen, A.: Using activity theory to model context awareness: a qualitative case study. In: Sutcliffe, G.C.J., Goebel, R.G. (eds.) Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, Melbourne Beach, pp. 619–624. AAAI Press, Stanford (2006)Google Scholar
  24. 24.
    Cassens, J.: Knowing what to explain and when. In: Gervás, P., Gupta, K.M. (eds.) Proceedings of the ECCBR 2004 Workshops. Number 142-04 in Technical Report of the Departamento de Sistemas Informáticos y Programación, Universidad Complutense de Madrid, Madrid, pp. 97–104 (2004)Google Scholar
  25. 25.
    Nardi, B.A.: A brief introduction to activity theory. KI – Künstliche Intelligenz, 35–36 (2003)Google Scholar
  26. 26.
    Bødker, S.: Activity theory as a challenge to systems design. In: Nissen, H.E., Klein, H., Hirschheim, R. (eds.) Information Systems Research: Contemporary Approaches and Emergent Traditions. pp. 551–564, North Holland (1991)Google Scholar
  27. 27.
    Nardi, B.A. (ed.): Context and Consciousness. MIT Press, Cambridge (1996)Google Scholar
  28. 28.
    Vygotski, L.S.: Ausgewählte Schriften Bd. 1: Arbeiten zu theoretischen und methodologischen Problemen der Psychologie. Pahl-Rugenstein, Köln (1985)Google Scholar
  29. 29.
    Kutti, K.: Activity theory as a potential framework for human-computer interaction research [27] 17–44Google Scholar
  30. 30.
    Mwanza, D.: Mind the gap: Activity theory and design. Technical Report KMI-TR-95, Knowledge Media Institute, The Open University, Milton Keynes (2000)Google Scholar
  31. 31.
    Leake, D.B.: Workshop introduction: ECCBR-04 workshop on explanation in CBR. Slides (2004) (last access 22.02.2007),
  32. 32.
    Cunningham, P., Doyle, D., Loughrey, J.: An evaluation of the usefulness of case-based reasoning explanation. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, pp. 122–130. Springer, Heidelberg (2003)Google Scholar
  33. 33.
    Aamodt, A.: A Knowledge-intensive, Integrated Approach to Problem Solving and Sustained Learning. PhD thesis, University of Trondheim, Norwegian Institute of Technology, Department of Computer Science, University Microfilms PUB 92-08460 (1991)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Anders Kofod-Petersen
    • 1
  • Jörg Cassens
    • 1
  1. 1.Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), 7491 TrondheimNorway

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