Towards an Ontology for Describing Emotions

  • Juan Miguel López
  • Rosa Gil
  • Roberto García
  • Idoia Cearreta
  • Nestor Garay
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5288)

Abstract

The study of emotion in human beings has traditionally been a research interest area in disciplines such as psychology and sociology. The appearance of affective computing paradigm has made it possible to include findings from these disciplines in the development of affective interfaces. Still, there is a lack of applications that take emotion related aspects into account. This situation is mainly due to the great amount of proposed theoretical models and the complexity of human emotions. Besides, the importance that mobile computing area is acquiring has made necessary to bear context related aspects in mind. The proposal presented in this paper is based on a generic ontology for describing emotions and their detection and expression systems taking contextual and multimodal elements into account. The ontology is proposed as a way to develop a formal model that can be easily computerized. Moreover, it is based on a standard, the Web Ontology Language (OWL), which also makes ontologies easily shareable and extensible. Once formalized as an ontology, the knowledge about emotions is used in order to make computers more accessible, personalised and adapted to user needs.

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References

  1. 1.
    Picard, R.: Perceptual user interfaces: affective perception. Communications of the ACM 43(3), 50–51 (2000)CrossRefGoogle Scholar
  2. 2.
    W3C Emotion Incubator Group (EmoXG). Report (July 10, 2007), http://www.w3.org/2005/Incubator/emotion/XGR-emotion-20070710
  3. 3.
    Scherer, K.R.: Psychological models of emotion. In: Borod, J.C. (ed.) The Neuro-psychology of Emotion, pp. 137–162. Oxford University Press, Oxford (2000)Google Scholar
  4. 4.
    Douglas-Cowie, E., et al.: HUMAINE deliverable D5g: Mid Term Report on Database Exemplar Progress. HUMAINE Netowork of Excellence (2006), http://emotion-research.net/deliverables/D5g%20final.pdf
  5. 5.
    Ekman, P.: Expression and nature of emotion. In: Scherer, K., Ekman, P. (eds.) Approaches to emotion. Erlbaum, Mahwah (1984)Google Scholar
  6. 6.
    Lang, P.J.: A bio-informational theory of emotional imagery. Psychophysiology 16, 495–512 (1979)CrossRefGoogle Scholar
  7. 7.
    Scherer, K.R.: Appraisal theory. In: Dalgleish, T., Power, M.J. (eds.) Handbook of cognition and emotion, pp. 637–663. Wiley, New York (1999)CrossRefGoogle Scholar
  8. 8.
    Goffman, E.: Embarrassment and Social Organization. American Journal of Sociology 62, 264–274 (1956)CrossRefGoogle Scholar
  9. 9.
    Cowie, R., Douglas-Cowie, E., Cox, C.: Beyond emotion archetypes: databases for emotion modelling using neural networks. Neural Networks 18, 371–388 (2005)CrossRefGoogle Scholar
  10. 10.
    Devillers, L., Abrilian, S., Martin, J.: Representing real life emotions in audiovisual data with non basic emotional patterns and context features. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 519–526. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Baldauf, M., Dustdar, S., Rosenberg, F.: A Survey on Context-Aware systems. International Journal of Ad Hoc and Ubiquitous Computing 2(4), 263–277 (2007)CrossRefGoogle Scholar
  12. 12.
    Collazos, C., García, R.: Semantics-Supported Cooperative Learning for Enhanced Awareness. International Journal of Knowledge and Learning 3(2/3), 59–66 (2007)Google Scholar
  13. 13.
    Mathieu, Y.: Annotation of Emotions and Feelings in Texts. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 350–357. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  14. 14.
    Strapparava, C., Valitutti, A.: WordNet-Affect: an affective extension of WordNet. In: Proceedings of 4th International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, pp. 1083–1086 (2004)Google Scholar
  15. 15.
    Chi, Y.-L., Peng, S.-Y., Yang, C.-C.: Creating Kansei Engineering-Based Ontology for Annotating and Archiving Photos Database. In: Jacko, J.A. (ed.) HCI 2007. LNCS, vol. 4550, pp. 701–710. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  16. 16.
    Galunov, V.I., Lobanov, B.M., Zagoruiko, N.G.: Ontology of the Subject Domain. In: Speech Signals Recognition and Synthesis SPECOM 2004, 9th Conference Speech and Computer Saint-Petersburg, Russia (2004)Google Scholar
  17. 17.
    Benta, K.L., Rarău, A., Cremene, M.: Ontology Based Affective Context Representation. In: Proceedings of the 2007 Euro American conference on Telematics and information systems (EATIS 2007), Faro, Portugal (2007)Google Scholar
  18. 18.
    Studer, R., Benjamins, R., Fensel, D.: Knowledge engineering: principles and methods. Data and knowledge engineering 25, 161–197 (1998)MATHCrossRefGoogle Scholar
  19. 19.
    Obrenovic, Z., Garay, N., López, J.M., Fajardo, I., Cearreta, I.: An ontology for description of emotional cues. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 505–512. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  20. 20.
    Cearreta, I., López, J.M., Garay, N.: Modelling multimodal context-aware affective interaction. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds.) ACII 2007. LNCS, vol. 4738, pp. 57–64. Springer, Heidelberg (2007)Google Scholar
  21. 21.
    García, R.: Methodology. In: A Semantic Web Approach to Digital Rights Management, pp. 116–120. PhD Thesis, Universitat Pompeu Fabra, Spain (2006), http://rhizomik.net/~roberto/thesis/html/Methodology.htm
  22. 22.
    Lytras, M., García, R.: Semantic Web Applications: A framework for industry and business exploitation - What is needed for the adoption of the Semantic Web from the market and industry. Int. Journal of Knowledge and Learning 4(1) (in press, 2008)Google Scholar
  23. 23.
    Lacy, L.W.: OWL: Representing Information Using the Web Ontology Language. Trafford Publishing (2005)Google Scholar
  24. 24.
    Gangemi, A., Guarino, N., Masolo, C., Oltramari, A., Schneider, L.: Sweetening Ontologies with DOLCE. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 166–181. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  25. 25.
    Scheffczyk, J., Baker, C.F., Narayanan, S.: Ontology-Based Reasoning about Lexical Resources. In: Calzolari, N., Gangemi, A., Lenci, A., Oltramari, A., Prévot, L. (eds.) Ontologies and Lexical Resources for Natural Language Processing. Cambridge University Press, Cambridge (2008)Google Scholar
  26. 26.
    Neyem, A., Aracena, C., Collazos, C., Alarcón, R.: Designing Emotional Awareness Devices: What One Sees Is What One Feels. Ingeniare 15(3), 227–235 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Juan Miguel López
    • 1
  • Rosa Gil
    • 1
  • Roberto García
    • 1
  • Idoia Cearreta
    • 2
  • Nestor Garay
    • 2
  1. 1.GRIHO Research GroupUniversitat de LleidaLleidaSpain
  2. 2.Laboratory of Human-Computer Interaction for Special NeedsUniversity of the Basque CountryDonostia-San SebastianSpain

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