Facial expression primes and implicit regulation of negative emotion

Neuroreport ◽  
2015 ◽  
Vol 26 (9) ◽  
pp. 548-553 ◽  
Author(s):  
HeungSik Yoon ◽  
Shin Ah Kim ◽  
Sang Hee Kim
Keyword(s):  
Facial Expression ◽  
Negative Emotion

Recognition of Facial Expressions by Urban Internet-Addicted Left-Behind Children in China

2017 ◽  
Vol 120 (3) ◽  
pp. 391-407 ◽  
Author(s):  
Ying Ge ◽  
Xiaofang Zhong ◽  
Wenbo Luo
Keyword(s):  
Information Processing ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Negative Emotion ◽  
Expression Recognition ◽  
Recognition Judgment ◽  
Opposite Pattern ◽  
Processing Mode ◽  
Left Behind ◽  
Recognition Of Facial Expressions

Internet addition affects facial expression recognition of individuals. However, evidences of facial expression recognition from different types of addicts are insufficient. The present study addressed the question by adopting eye-movement analytical method and focusing on the difference in facial expression recognition between internet-addicted and non-internet-addicted urban left-behind children in China. Sixty 14-year-old Chinese participants performed tasks requiring absolute recognition judgment and relative recognition judgment. The results show that the information processing mode adopted by the internet-addicted involved earlier gaze acceleration, longer fixation durations, lower fixation counts, and uniform extraction of pictorial information. The information processing mode of the non-addicted showed the opposite pattern. Moreover, recognition and processing of negative emotion pictures were relatively complex, and it was especially difficult for urban internet-addicted left-behind children to process negative emotion pictures in fine judgment and processing stage of recognition on differences as demonstrated by longer fixation duration and inadequate fixation counts.

scholarly journals Customer’s spontaneous facial expression recognition

2021 ◽  
Vol 22 (3) ◽  
pp. 1436
Author(s):  
Golam Morshed ◽  
Hamimah Ujir ◽  
Irwandi Hipiny
Keyword(s):  
Facial Expression ◽  
Customer Service ◽  
Positive Emotion ◽  
Service System ◽  
Negative Emotion ◽  
Sliding Window ◽  
High Accuracy ◽  
Facial Features ◽  
Expression Recognition ◽  
Specific Product

<span lang="EN-US">In the field of consumer science, customer facial expression is often categorized either as negative or positive. Customer who portrays negative emotion to a specific product mostly means they reject the product while a customer with positive emotion is more likely to purchase the product. To observe customer emotion, many researchers have studied different perspectives and methodologies to obtain high accuracy results. Conventional neural network (CNN) is used to recognize customer spontaneous facial expressions. This paper aims to recognize customer spontaneous expressions while the customer observed certain products. We have developed a customer service system using a CNN that is trained to detect three types of facial expression, i.e. happy, sad, and neutral. Facial features are extracted together with its histogram of gradient and sliding window. The results are then compared with the existing works and it shows an achievement of 82.9% success rate on average.</span>

scholarly journals Chronic negative mood affects internal representations of negative facial expressions – An internet study

2014 ◽  
Author(s):  
Jacob Jolij ◽  
Sophia C. Wriedt ◽  
Annika Luckmann
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Emotional State ◽  
Negative Emotion ◽  
Negative Mood ◽  
Internal Representation ◽  
Reverse Correlation ◽  
Internal Representations ◽  
Classification Image ◽  
Internet Study

Facial expressions are an important source of information in social interactions, as they effectively communicate someone’s emotional state. Not surprisingly, the human visual system is highly specialized in processing facial expressions. Interestingly, processing of facial expressions is influenced by the emotional state of the observer: in a negative mood, observers are more sensitive to negative emotional expression than when they are in a positive mood, and vice versa. Here, we investigated the effects of chronic negative mood on perception of facial expressions by means of an online reverse correlation paradigm. We administered a depression questionnaire assessing chronic negative mood over the last two weeks. We constructed a classification image for negative emotion for each participant by means of an online reverse correlation task, which were rated for intensity of expression by an independent group of observers. Here we found a strong correlation between chronic mood and intensity of expression of the internal representation: the more negative chronic mood, the less intense the negative expression of the internal representation. This experiment corroborates earlier findings that the perception of facial expression is affected by an observer’s mood, and that this effect may be the result of altered top-down internal representations of facial expression. Equally importantly, though, our results demonstrate the feasibility of applying a reverse correlation paradigm via the Internet, opening up the possibility for large-sample studies using this technique.

scholarly journals Confusion Effects of Facial Expression Recognition in Patients With Major Depressive Disorder and Healthy Controls

2021 ◽  
Vol 12 ◽  
Author(s):  
Fan Mo ◽  
Jingjin Gu ◽  
Ke Zhao ◽  
Xiaolan Fu
Keyword(s):  
Major Depressive Disorder ◽  
Facial Expression ◽  
Depressive Disorder ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Negative Emotion ◽  
Expression Recognition ◽  
Healthy Controls ◽  
Major Depressive ◽  
The Difference

Facial expression recognition plays a crucial role in understanding the emotion of people, as well as in social interaction. Patients with major depressive disorder (MDD) have been repeatedly reported to be impaired in recognizing facial expressions. This study aimed to investigate the confusion effects between two facial expressions that presented different emotions and to compare the difference of confusion effect for each emotion pair between patients with MDD and healthy controls. Participants were asked to judge the emotion category of each facial expression in a two-alternative forced choice paradigm. Six basic emotions (i.e., happiness, fear, sadness, anger, surprise, and disgust) were examined in pairs, resulting in 15 emotion combinations. Results showed that patients with MDD were impaired in the recognition of all basic facial expressions except for the happy expression. Moreover, patients with MDD were more inclined to confuse a negative emotion (i.e., anger and disgust) with another emotion as compared to healthy controls. These findings highlight the importance that patients with MDD show a deficit of sensitivity in distinguishing specific two facial expressions.

scholarly journals Chronic negative mood affects internal representations of negative facial expressions – An internet study

2014 ◽  
Author(s):  
Jacob Jolij ◽  
Sophia C. Wriedt ◽  
Annika Luckmann
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Emotional State ◽  
Negative Emotion ◽  
Negative Mood ◽  
Internal Representation ◽  
Reverse Correlation ◽  
Internal Representations ◽  
Classification Image ◽  
Internet Study

Facial expressions are an important source of information in social interactions, as they effectively communicate someone’s emotional state. Not surprisingly, the human visual system is highly specialized in processing facial expressions. Interestingly, processing of facial expressions is influenced by the emotional state of the observer: in a negative mood, observers are more sensitive to negative emotional expression than when they are in a positive mood, and vice versa. Here, we investigated the effects of chronic negative mood on perception of facial expressions by means of an online reverse correlation paradigm. We administered a depression questionnaire assessing chronic negative mood over the last two weeks. We constructed a classification image for negative emotion for each participant by means of an online reverse correlation task, which were rated for intensity of expression by an independent group of observers. Here we found a strong correlation between chronic mood and intensity of expression of the internal representation: the more negative chronic mood, the less intense the negative expression of the internal representation. This experiment corroborates earlier findings that the perception of facial expression is affected by an observer’s mood, and that this effect may be the result of altered top-down internal representations of facial expression. Equally importantly, though, our results demonstrate the feasibility of applying a reverse correlation paradigm via the Internet, opening up the possibility for large-sample studies using this technique.

Parasympathetic Concomitants of Habitual, Spontaneous, and Instructed Emotional Suppression

2017 ◽  
Vol 31 (2) ◽  
pp. 78-89 ◽  
Author(s):  
Asmir Gračanin ◽  
Igor Kardum ◽  
Jasna Hudek-Knežević
Keyword(s):  
Negative Emotion ◽  
Self Regulation ◽  
Experimental Manipulation ◽  
Task Demands ◽  
Self Control ◽  
Integration Model ◽  
Sinus Arrhythmia ◽  
Emotional Suppression ◽  
Emotion Experience ◽  
Similar Relation

Abstract. The neurovisceral integration model proposes that different forms of self-regulation, including the emotional suppression, are characterized by the activation of neural network whose workings are also reflected in respiratory sinus arrhythmia (RSA). However, most of the previous studies failed to observe theoretically expected increases in RSA during emotional suppression. Even when such effects were observed, it was not clear whether they resulted from specific task demands, a decrease in muscle activity, or they were the consequence of more specific self-control processes. We investigated the relation between habitual or trait-like suppression, spontaneous, and instructed suppression with changes in RSA during negative emotion experience. A modest positive correlation between spontaneous situational and habitual suppression was observed across two experimental tasks. Furthermore, the results showed greater RSA increase among participants who experienced higher negative affect (NA) increase and reported higher spontaneous suppression than among those with higher NA increase and lower spontaneous suppression. Importantly, this effect was independent from the habitual suppression and observable facial expressions. The results of the additional task based on experimental manipulation, rather than spontaneous use of situational suppression, indicated a similar relation between suppression and RSA. Our results consistently demonstrate that emotional suppression, especially its self-regulation component, is followed by the increase in parasympathetic activity.

The Role of Distress Disclosure Tendencies in the Experience and Expression of Laboratory-Induced Sadness

2017 ◽  
Vol 38 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Jeffrey H. Kahn ◽  
Daniel W. Cox ◽  
A. Myfanwy Bakker ◽  
Julia I. O’Loughlin ◽  
Agnieszka M. Kotlarczyk
Keyword(s):  
Individual Differences ◽  
Emotional Reactivity ◽  
Subjective Experience ◽  
Negative Emotion ◽  
Theoretical Models ◽  
Laboratory Research ◽  
Emotion Words ◽  
Distress Disclosure ◽  
Computerized Text Analysis

Abstract. The benefits of talking with others about unpleasant emotions have been thoroughly investigated, but individual differences in distress disclosure tendencies have not been adequately integrated within theoretical models of emotion. The purpose of this laboratory research was to determine whether distress disclosure tendencies stem from differences in emotional reactivity or differences in emotion regulation. After completing measures of distress disclosure tendencies, social desirability, and positive and negative affect, 84 participants (74% women) were video recorded while viewing a sadness-inducing film clip. Participants completed post-film measures of affect and were then interviewed about their reactions to the film; these interviews were audio recorded for later coding and computerized text analysis. Distress disclosure tendencies were not predictive of the subjective experience of emotion, but they were positively related to facial expressions of sadness and happiness. Distress disclosure tendencies also predicted judges’ ratings of the verbal disclosure of emotion during the interview, but self-reported disclosure and use of positive and negative emotion words were not associated with distress disclosure tendencies. The authors present implications of this research for integrating individual differences in distress disclosure with models of emotion.

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