Emergent Affective and Personality Model

  • Mei Yii Lim
  • Ruth Aylett
  • Christian Martyn Jones
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3661)


The Emergent Affective and Personality model is a body-mind model of emotions for a mobile tour guide agent. This research is inspired by work in Psychology, Brain Research, Personality, Narrative, Mobile Computing and Artificial Intelligence. The main goal is to build an ‘intelligent guide with attitude’. This paper presents a review of related work, the affective model and the future work to be carried out.


Resolution Level Selection Threshold Arousal Level Emotional Memory Personality Model 
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.
    Dautenhahn, K.: The art of designing socially intelligent agents – science, fiction and the human in the loop (1998)Google Scholar
  2. 2.
    Oliveira, E., Sarmento, L.: Emotional advantage for adaptability and autonomy. In: Proceeding of 2nd International join Conference on Autonomous Agents and Multiagents Systems, Melbourne. ACM, New York (2003)Google Scholar
  3. 3.
    Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)Google Scholar
  4. 4.
    Bates, J.: The role of emotions in believable agents. Communications of the ACM 37, 122–125 (1994)CrossRefGoogle Scholar
  5. 5.
    Doyle, P., Isbister, K.: Touring machines: Guide agents for sharing stories about digital places (1999)Google Scholar
  6. 6.
    Lester, J.C., Rickel, J.: Animated pedagogical agents: Face-to-face interaction in interactive learning environments. International Journal of Articial Intelligence in Education (2000)Google Scholar
  7. 7.
    Dörner, D., Hille, K.: Articial souls: Motivated emotional robots. In: Proceedings of the International Conference on Systems, Man and Cybernetics, pp. 3828–3832 (1995)Google Scholar
  8. 8.
    Lim, M.Y., Aylett, R., Jones, C.M.: Empathic interaction with a virtual guide. In: Proceeding of the Joint Symposium on Virtual Social Agents, AISB 2005:Social Intelligence and Interaction in Animals, Robots and Agents, Hatfield, UK, pp. 122–129 (2005)Google Scholar
  9. 9.
    Tozzi, V.: Past reality and multiple interpretations in historical investigation. Stud Social Political Thought 2 (2000)Google Scholar
  10. 10.
    Reilly, W.S., Bates, J.: Building emotional agents. Technical Report CMU-CS-92-143, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA (1992)Google Scholar
  11. 11.
    Bates, J.: The nature of characters in interactive worlds and the oz project (1992)Google Scholar
  12. 12.
    Bates, J., Loyall, A.B., Reilly, W.S.: An architecture for action, emotion, and social behavior. In: Castelfranchi, C., Werner, E. (eds.) MAAMAW 1992. LNCS, vol. 830, pp. 55–69. Springer, Heidelberg (1994)Google Scholar
  13. 13.
    Mateas, M.: An oz-centric review of interactive drama and believable agents (1997)Google Scholar
  14. 14.
    Cañamero, D.: Modeling motivations and emotions as a basis for intelligent behavior. In: Johnson, W.L., Hayes-Roth, B. (eds.) Proceedings of the 1st International Conference on Autonomous Agents, pp. 148–155. ACM Press, New York (1997)CrossRefGoogle Scholar
  15. 15.
    Ferrell, C.B.: A motivational system for regulating human-robot interaction. In: Proceeding of AAAI 1998, Madison, WI (1998)Google Scholar
  16. 16.
    Velásquez, J.: A computational framework for emotion-based control. In: Proceeding of the Grounding Emotions in Adaptive Systems Workshop, SAB 1998, Zurich, Switzerland (1998)Google Scholar
  17. 17.
    Tomlinson, B., Blumberg, B.: AlphaWolf: Social learning, emotion and development in autonomous virtual agents (2002)Google Scholar
  18. 18.
    Merahbian, A., Russell, J.: An Approach to Environmental Psychology. MIT Press, Cambridge (1974)Google Scholar
  19. 19.
    Damasio, A.R.: Descartes’ Error: Emotion, Reason, and the Human Brain. G.P. Putnam, New York (1994)Google Scholar
  20. 20.
    Bartl, C., Dörner, D.: Comparing the behavior of psi with human behavior in the biolab game. In: Ritter, F.E., Young, R.M. (eds.) Proceedings of the Second International Conference on Cognitive Modeling. Nottingham University Press, Nottingham (1998)Google Scholar
  21. 21.
    Dörner, D.: The mathematics of emotions. In: Frank Detje, D.D., Schaub, H. (eds.) Proceedings of the Fifth International Conference on Cognitive Modeling, Bamberg, Germany, pp. 75–79 (2003)Google Scholar
  22. 22.
    Randolph, M., Hones, A.E., Henninger, E.C.: Interfacing emotional behavior moderators with intelligent synthetic forces. In: Proceeding of the 11th CGF-BR Conference, Orlando, FL (2002)Google Scholar
  23. 23.
    Chown, E.: Consolidation and Learning: A Connectionist Model of Human Credit Assignment. PhD thesis, University of Michigan (1993)Google Scholar
  24. 24.
    Taylor, G., Nielsen, F.K.,, P.: Special operations forces ifors. In: Proceeding of the 10th Conference on Computer Generated Forces and Behavioral Representation, Norfolk, VA, pp. 301–306 (2001)Google Scholar
  25. 25.
    Carver, J.M.: Emotional memory management: Positive control over your memory. Burn Survivors Throughout the World Inc. (2005),
  26. 26.
    Memory, A.: The role of emotion in memory. About Memory: Learning about Memory for Permanent Memory Improvement (2005),
  27. 27.
    Winograd, E., Neisser, U.: Affect amd Accuracy in Recall. Cambridge University Press, Cambridge (1992)CrossRefGoogle Scholar
  28. 28.
    Riesberg, D., Heuer, F.: Remembering the details of emotional events. Affect and Accuracy in Recall: Studies of ’Flashbulb’ Memories, 162–190 (1992)Google Scholar
  29. 29.
    Kensinger, E.A., Corkin, S.: Two routes to emotional memory: Distinct neural processes for valence and arousal. PNAS 101, 3310–3315 (2004)CrossRefGoogle Scholar
  30. 30.
    Richter-Levin, G., Akirav, I.: Emotional tagging of memory formation - in the search for neural mechanisms. Brain Research Reviews 43, 247–256 (2003)CrossRefGoogle Scholar
  31. 31.
    Cahill, L., Haier, R.J., Fallon, J., Alkire, M.T., Tang, C., Keator, D., Wu, J., McGaugh, J.L.: Amygdala activity at encoding correlated with long-term, free recall of emotional information. In: Proceeding of the National Academy of Science, USA, vol. 93, pp. 8016–8021 (1996)Google Scholar
  32. 32.
    Hamann, S.B., Ely, T.D., Grafton, D.T., Kilts, C.D.: Amygdala activity related to enhanced memory for pleasant and aversive stimuli. National Neuroscience 2, 289–293 (1999)CrossRefGoogle Scholar
  33. 33.
    Canli, T., Zhao, Z., Brewer, J., Gabrieli, J.D., Cahill, L.: Event-related activation of the human amygdala associates with later memory for individual emotional experience. Journal of Neuroscience 20, 1–5 (2000)Google Scholar
  34. 34.
    Dolan, R.J., Lane, R., Fletcher, P.C.: Dissociable temporal lobe activations during emotional episodic memory retrieval. NeuroImage 11, 203–209 (2000)CrossRefGoogle Scholar
  35. 35.
    Eysenck, H.J., Eysenck, M.: Personality and Individual Differences: A Natural Science Approach. Plenum Press, New York (1985)Google Scholar
  36. 36.
    Buss, A.H., Plomin, R.: A temperament theory of personality development. Wiley, New York (1975)Google Scholar
  37. 37.
    HUMAINE: Human-machine interaction network on emotion (2004),

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Mei Yii Lim
    • 1
  • Ruth Aylett
    • 1
  • Christian Martyn Jones
    • 1
  1. 1.School of Mathematical and Computer SciencesHeriot Watt UniversityEdinburghScotland

Personalised recommendations