An Algorithm Model for Gross Cognitive Reappraisal Strategy

  • Xiaolan Peng
  • Lun Xie
  • Xin Liu
  • Zhiliang Wang
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 193)


In this paper, we use the mathematical model of Finite State Machine to describe the conversion process of individual’s emotional state based on Gross’s process model of emotion regulation strategies. In the model, we abstract Gross cognitive reappraisal strategy into a quantitative parameter and propose a kind of preliminary algorithm description for the influence cognitive reappraisal strategy has on the emotional conversion process. At last, we make simulation experiment for the algorithm model, and the experimental results show that the proposed algorithm proposed can effectively describe the relationship between reappraisal strategy and emotion-generative process.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Gross, J.J.: Emotion regulation: affective, cognitive, and social consequences. Psychophysiology 39, 281–291 (2002)CrossRefGoogle Scholar
  2. 2.
    Gross, J.J.: Emotion regulation in adulthood: Timing is everything. Current Directions in Psychological Science 10, 214–219 (2001)CrossRefGoogle Scholar
  3. 3.
    Wang, H., He, X.: Knowledge Representation by Naive Mental Image. Chinese Journal of Computer 24(8), 891–896 (2001)Google Scholar
  4. 4.
    Liu, Y., Fu, Q., Fu, X.: Cognitive and emotional interaction. Chinese Science Bulletin 18(54), 2783–2796 (2009)Google Scholar
  5. 5.
    Gross, J.J.: The emerging field of emotion regulation: integrative review. Review of General Psychology 2, 271–299 (1998)CrossRefGoogle Scholar
  6. 6.
    Gross, J.J.: Antecedent-and response-focused emotion regulation: divergent consequences for experience, expression, and physiology. Journal of Personality and Social Psychology 74, 224–237 (1998)CrossRefGoogle Scholar
  7. 7.
    Zhu, Z., Zhu, Q.: Algebraic properties of state automaton matrix model. Computer Engineering and Applications (04) (2003)Google Scholar
  8. 8.
    Liu, X., Xie, L., Yang, W., Wang, Z., Fu, S.: Dynamic regulation process of facial expression robot. Journal of Control Theory and Applications 28(7), 936–946 (2011)Google Scholar
  9. 9.
    Johnston, V.S.: Why we feel the science of human emotions. Perseus Books Group Massachus 8 (April 1999)Google Scholar
  10. 10.
    Wang, L., Markham, R.: The development of a series of photographs of Chinese facial expressions of emotion. Journal of Cross Cultural Psychology 31(4), 397–410 (1999)CrossRefGoogle Scholar
  11. 11.
    Ekman, P.: Universals and cultural differences in facial expressions of emotion. In: Cole, J. (ed.) Nebraska Symposium on Motivation, vol. 19, pp. 207–282. University of Nebraska Press, Lincoln (1971)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.School of Computer and Communication EngineeringUniversity of Science and Technology BeijingBeijingChina
  2. 2.School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijingChina

Personalised recommendations