The timing dynamics of regulating negative emotion with expressive suppression and cognitive reappraisal were investigated in a Chinese sample. Event-Related Potentials were recorded while subjects were required to vi...The timing dynamics of regulating negative emotion with expressive suppression and cognitive reappraisal were investigated in a Chinese sample. Event-Related Potentials were recorded while subjects were required to view, suppress emotion expression to, or reappraise emotional pictures. The results showed a similar reduction in self-reported negative emotion during both strategies. Additionally, expressive suppression elicited larger amplitudes than reappraisal in central-frontal P3 component(340–480 ms). More importantly, the Late Positive Potential(LPP) amplitudes were decreased in each 200 ms of the 800–1600 ms time intervals during suppression vs. viewing conditions. In contrast, LPP amplitudes were similar for reappraisal and viewing conditions in all the time windows, except for the decreased amplitudes during reappraisal in the 1400–1600 ms. The LPP(but not P3) amplitudes were positively related to negative mood ratings, whereas the amplitudes of P3, rather than LPP, predict self-reported expressive suppression. These results suggest that expressive suppression decreases emotion responding more rapidly than reappraisal, at the cost of greater cognitive resource involvements in Chinese individuals.展开更多
This paper proposes a continuous cognitive emotional regulation model for robot in the case of external emotional stimulus from interactive person's expressions. It integrates a guiding cognitive reappraisal strat...This paper proposes a continuous cognitive emotional regulation model for robot in the case of external emotional stimulus from interactive person's expressions. It integrates a guiding cognitive reappraisal strategy into the HMM(Hidden Markov Model) emotional interactive model for empathizing between robot and person. The emotion is considered as a source in the 3D space(Arousal, Valence, and Stance). State transition and emotion intensity can be quantitatively analyzed in the continuous space. This cognition-emotion interactive model have been verified by the expression and behavior robot. Empathizing is the main distinguishing feature of our work, and it is realized by the emotional regulation which operated in a continuous 3D emotional space enabling a wide range of intermediate emotions. The experiment results provide evidence with acceptability, accuracy, richness, fluency, interestingness, friendliness and exaggeration that the robot with cognition and emotional control ability could be better accepted in the human-robot interaction(HRI).展开更多
基金supported by National Natural Science Foundation of China(NSFC3117098931371042)+1 种基金the Keygrant Project of Chinese Ministry of Education(NO.311032)the Special Grant for Postdoctoral Research in Chongqing(Xm2014059)
文摘The timing dynamics of regulating negative emotion with expressive suppression and cognitive reappraisal were investigated in a Chinese sample. Event-Related Potentials were recorded while subjects were required to view, suppress emotion expression to, or reappraise emotional pictures. The results showed a similar reduction in self-reported negative emotion during both strategies. Additionally, expressive suppression elicited larger amplitudes than reappraisal in central-frontal P3 component(340–480 ms). More importantly, the Late Positive Potential(LPP) amplitudes were decreased in each 200 ms of the 800–1600 ms time intervals during suppression vs. viewing conditions. In contrast, LPP amplitudes were similar for reappraisal and viewing conditions in all the time windows, except for the decreased amplitudes during reappraisal in the 1400–1600 ms. The LPP(but not P3) amplitudes were positively related to negative mood ratings, whereas the amplitudes of P3, rather than LPP, predict self-reported expressive suppression. These results suggest that expressive suppression decreases emotion responding more rapidly than reappraisal, at the cost of greater cognitive resource involvements in Chinese individuals.
基金supported by Beijing Natural Science Foundation (No.4164091)China Postdoctoral Science Foundation (No.2015M580048)+2 种基金Fundamental Research Funds for the Central Universities (No.FRF-TP-15034A1)National Natural Science Foundation of China (No.61672093,61432004)National Key Research and Development Plan(2016YFB1001404)
文摘This paper proposes a continuous cognitive emotional regulation model for robot in the case of external emotional stimulus from interactive person's expressions. It integrates a guiding cognitive reappraisal strategy into the HMM(Hidden Markov Model) emotional interactive model for empathizing between robot and person. The emotion is considered as a source in the 3D space(Arousal, Valence, and Stance). State transition and emotion intensity can be quantitatively analyzed in the continuous space. This cognition-emotion interactive model have been verified by the expression and behavior robot. Empathizing is the main distinguishing feature of our work, and it is realized by the emotional regulation which operated in a continuous 3D emotional space enabling a wide range of intermediate emotions. The experiment results provide evidence with acceptability, accuracy, richness, fluency, interestingness, friendliness and exaggeration that the robot with cognition and emotional control ability could be better accepted in the human-robot interaction(HRI).
