Sentic Computing: Exploitation of Common Sense for the Development of Emotion-Sensitive Systems

  • Erik Cambria
  • Amir Hussain
  • Catherine Havasi
  • Chris Eckl
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5967)


Emotions are a fundamental component in human experience, cognition, perception, learning and communication. In this paper we explore how the use of Common Sense Computing can significantly enhance computers’ emotional intelligence i.e. their capability of perceiving and expressing emotions, to allow machines to make more human-like decisions and improve the human-computer interaction.


Common Sense Computing AI Semantic Networks NLP Analogies Knowledge Base Management Emotion and Affective UI 


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  1. 1.
    Cambria, E., Hussain, A., Havasi, C., Eckl, C.: Common Sense computing: From the society of mind to digital intuition and beyond. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds.) Biometric ID Management and Multimodal Communication. LNCS, vol. 5707, pp. 252–259. Springer, Heidelberg (2009), Scholar
  2. 2.
    Hendler, J., Shadbolt, N., Hall, W., Berners-Lee, T., Weitzner, D.: Web Science: an Interdisciplinary Approach to Understanding the World Wide Web. Communications of the ACM 51(7), 60–69 (2008)CrossRefGoogle Scholar
  3. 3.
    Clynes, M.: Sentics: The Touch of the Emotions, Doubleday, New York (1977)Google Scholar
  4. 4.
    Picard, R.: Affective Computing. MIT Press, Cambridge (1997)Google Scholar
  5. 5.
    Dyer, M.: Emotions and Their Computations: Three Computer Models. Cognition and Emotion 1(3), 323–347 (1987)CrossRefGoogle Scholar
  6. 6.
    Bradley, M., Lang, P.: Affective Norms for English Words (ANEW): Instruction manual and affective ratings. Technical Report C-1, University of Florida (1999)Google Scholar
  7. 7.
    Pennebaker, J., Francis, M., Booth, R.: Linguistic Inquiry and Word Count (LIWC). Erlbaum Publishers, Mahwah (2001)Google Scholar
  8. 8.
    Valitutti, A., Strapparava, C., Stock, O.: Developing Affective Lexical Resources. PsychNology Journal 2(1), 61–83 (2004)Google Scholar
  9. 9.
    Goertzel, B., Silverman, K., Hartley, C., Bugaj, S., Ross, M.: The Baby Webmind Project. In: AISB 2000 (2000)Google Scholar
  10. 10.
    Martin, J., White, P.: The Language of Evaluation: Appraisal in English. Palgrave Macmillan, Basingstoke (2005)Google Scholar
  11. 11.
    Liu, H., Lieberman, H., Selker, T.: A Model of Textual Affect Sensing using Real-World Knowledge. In: IUI 2003 (2003)Google Scholar
  12. 12.
    Havasi, C., Speer, R., Alonso, J.: ConceptNet 3: a Flexible, Multilingual Semantic Network for Common Sense Knowledge. In: RANLP 2007 (2007)Google Scholar
  13. 13.
    Speer, R., Havasi, C., Lieberman, H.: Analogy Space: Reducing the Dimensionality of Common Sense Knowledge. In: AAAI 2008 (2008)Google Scholar
  14. 14.
    Plutchik, R.: The Nature of Emotions. American Scientist 89(4), 344–350 (2001)CrossRefGoogle Scholar
  15. 15.
    Minsky, M.: The Emotion Machine. Simon and Schuster, New York (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Erik Cambria
    • 1
  • Amir Hussain
    • 1
  • Catherine Havasi
    • 2
  • Chris Eckl
    • 3
  1. 1.Dept. of Computing Science and MathsUniversity of StirlingUK
  2. 2.MIT Media LabMITUSA
  3. 3.Sitekit LabsSitekit Solutions LtdUK

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