Emotional state transfer model based on FSM

Author

Jing Han ; Lun Xie ; Xin Liu ; Zhiliang Wang

Author_Institution

Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2014

fDate

28-29 Sept. 2014

Firstpage

1

Lastpage

5

Abstract

In this paper, the mathematical model of emotional state transition is proposed based on finite state machine (FSM) and Gross´s process model of emotion regulation strategies. Firstly, Gross emotion regulation theory and FSM are described. And the initial values of emotional state transition probability matrix are calculated by the interaction between emotions. Then emotional intensity attenuation function by external stimuli is constructed, and we analyzed its effect on the emotional state transition probability. Finally, by the simulation and verified of the mathematical model, the results show that the model proposed can effectively describe the influence of emotional intensity attenuation to transition probability.

Keywords

behavioural sciences computing; finite state machines; matrix algebra; probability; FSM; Gross emotion regulation theory; Gross process model; emotion regulation strategies; emotional intensity attenuation function; emotional state transfer model; emotional state transition probability matrix; external stimuli; finite state machine; Attenuation; Cognition; Computational modeling; Hidden Markov models; Mathematical model; Psychology; Robots;

fLanguage

English

Publisher

ieee

Conference_Titel

Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-6731-5

Type

conf

DOI

10.1109/MFI.2014.6997732

Filename

6997732