HUMAN EMOTIONAL STATE ASSESSMENT BASED ON A VIDEO PORTRAYAL

被引：11

作者：

Barabanschikov, Vladimir A. ^{[1
]}

Suvorova, Ekaterina, V ^{[2
]}

机构：

[1] MSUPE, Inst Expt Psychol, Moscow, Russia

[2] MSUPE, Inst Expt Psychol, Moscow Inst Psychoanal, Moscow, Russia

来源：

EKSPERIMENTALNAYA PSIKHOLOGIYA | 2020年 / 13卷 / 04期

基金：

俄罗斯科学基金会;

关键词：

GERT; human face; multimodal dynamic expressions; emotion recognition; categorical expression field; cross-cultural comparison; dynamics and statics in the perception of emotions; NONVERBAL EXPRESSION; RECOGNITION;

D O I：

10.17759/exppsy.2020130401

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

The article is devoted to the results of approbation of the Geneva Emotion Recognition Test (GERT), a Swiss method for assessing dynamic emotional states, on Russian sample. Identification accuracy and the categorical fields' structure of emotional expressions of a "living" face are analysed. Similarities and differences in the perception of affective groups of dynamic emotions in the Russian and Swiss samples are considered. A number of patterns of recognition of multi-modal expressions with changes in valence and arousal of emotions are described. Differences in the perception of dynamics and statics of emotional expressions are revealed. GERT method confirmed it's high potential for solving a wide range of academic and applied problems.

引用

页码：4 / 24

页数：21

共 27 条

[1]

[Anonymous], 2010, Blueprint for affective computing: A sourcebook

[2] The Role of Perceived Voice and Speech Characteristics in Vocal Emotion Communication [J].