摘要
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.
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.
基金
supported by the National Natural Science Foundation of China under Grants No.61170115,No. 61170117,No. 61105120
the 2012 Ladder Plan Project of Beijing Key Laboratory of Knowledge Engineering for Materials Science under Grant No. Z121101002812005
作者简介
PENG Xiaolan, postgraduate student from Human Robotic Interaction Lab, University of Science and Technology Beijing, China. Her current research interests include affective computing and image processing. Email： pengxiaolanlvlv@sina.comXIE Lun. Professor at University of Science and Technology Beijing, China. He is a board member of China Artificial Society. lie received his Ph.D. degree in University of Science and Technofogy Beijing. His current research interests include robotics research and affective computing. The corresponding author. Email： xielun@ustb.edu.cnLIU Xin, a Ph.D. candidate from Human Robotic Interaction Lab, University of Science and Technology Beijing, China. Her current research interests include affective computing and image categorization. Email： liuxin87@yeah.netWANG Zhiliong, Professor at University of Science and Technology Beijing, China. He is a senior board member of China Artificial Society. He received his Ph.D. degree in Harbin Institute of Technology, China. His current research interests include artificial psychology and the Internet of things. Email： wzl@ustb. edu.cn
