DocumentCode
16797
Title
Emotional state transition model based on stimulus and personality characteristics
Author
Peng Xiaolan ; Xie Lun ; Liu Xin ; Wang Zhiliang
Author_Institution
Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Volume
10
Issue
6
fYear
2013
fDate
Jun-13
Firstpage
146
Lastpage
155
Abstract
In order to use mathematical methods to study how cognitive reappraisal strategies affect the output state of emotions, Gross´s cognitive reappraisal strategy is transformed into a quantitative parameter which is proposed to describe the general perception of emotional events on the basis of the emotion regulation. According to Gross´s emotional regulation model, the Finite State Machine (FSM) model is used for describing the process of emotional state transition and the Likert 5 grading scale is introduced to study the level of an individual´s reappraisal according to the participant´s self-evaluation. The experimental results verify that the algorithm can effectively describe the relationship between the reappraisal strategy, emotional events and an emotiongenerative process. There are multiple dimensions of a human´s emotional state. Thus, in the field of human-computer interaction, further research requires the development of a specific algorithm which can be implemented by a computer for the emotion regulation process.
Keywords
cognition; finite state machines; human computer interaction; mathematical analysis; psychology; FSM model; Likert 5 grading scale; cognitive reappraisal strategy; emotion regulation process; emotion-generative process; emotional mathematical method; emotional regulation model; emotional state transition model; finite state machine; human emotional state; human-computer interaction; individual reappraisal level; participant self-evaluation; personality characteristics; stimulus; Automata; Computational modeling; Computers; Emotion recognition; Hidden Markov models; Mathematical model; conversion matrix; emotion regulation; emotional events; reappraisal;
fLanguage
English
Journal_Title
Communications, China
Publisher
ieee
ISSN
1673-5447
Type
jour
DOI
10.1109/CC.2013.6549266
Filename
6549266
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