The influence of reward on behavior is one of the hottest research subjects in psychological research. Reward-induced motivation promotes the performance of the participants. In the field of emotional processing, the reward can influence the individual's processing of emotional information, but previous studies have not directly discussed the effect of reward on emotional regulation. The present study focused on whether emotional regulation ability would be improved under the reward condition. Experiment 1 and 2 investigated the effect of reward on negative emotional down-regulation and positive emotional up-regulation respectively. In experiment 1, monetary reward stimulation was introduced on the basis of the classic emotion regulation paradigm, and the subjects were asked to regulate their negative emotion under the condition of reward or non-reward, and evaluate their current affective state subsequently. Similar to experiment 1, experiment 2 required subjects to up-regulate positive emotions under the condition of reward or non-reward. The results of experiment 1 showed that under the reward condition, the negative emotional regulation effect was significantly higher than that under the non-reward condition (P < 0.05). Experiment 2 also showed that compared to non-reward condition, the positive emotion regulation effect was significantly increased under the reward condition (P < 0.05). These results suggested that compared to non-reward condition, participants can regulate their emotion better under the condition of the reward. It is worth noting that the results of Experiment 1 and 2 may be caused by the incentive motivation induced by monetary stimulus, or the positive emotion caused by positive value of money information. Therefore, we carried out experiment 3 and 4 to explore whether the positive emotions induced by money itself can influence the emotional regulation of individuals. In experiment 3, the money pictures were used to induce the positive emotions of subjects, and the subjects were asked to regulate their negative emotion after the presence of money pictures or non-monetary picture, and evaluate their current affective state subsequently. Similarly, experiment 4 required subjects to regulate their positive emotion after the presence of money pictures. The results of experiment 3 and 4 showed that there was no significant difference in the subjects' scores of emotional pleasantness after the presence of money pictures or non-monetary picture (P < 0.05). The results of experiment 3 and 4 excluded the possibility that the positive emotions induced by simple money stimulus pictures could improve individual's emotional regulation ability. To sum up, the improvement of individual's emotional regulation ability was indeed driven by reward motivation in this study, that is, the motivation induced by reward can effectively promote individual's emotional regulation ability.
Emotions ; Humans ; Motivation ; Reward

Humans ; Emotions ; Running

Time is an important element for cognitive processes. Timing and time perception have been investigated by neuroscientists and psychologists for many years. It is well accepted that emotions could alter our experience of time. Previous studies of the emotional modulation on temporal perception focus primarily on behavioral and psychological experiments. In recent years, studies about the neurophysiological mechanisms of time perception have made some progress. Therefore, researchers started to explore how emotions influence our sense of time on the aspects of neural networks, neurotransmitters and synaptic plasticity. In this paper, we tried to review current studies about the effects of emotional regulation on time perception and the relevant neurophysiological mechanisms. This review will help us to deeply understand the neural mechanisms of time perception.
Emotions ; Neuronal Plasticity ; Time Perception

Parents ; Parenting ; Adolescent ; Emotions ; psychology

Adolescent ; Emotions ; Humans ; Screen Time

Adolescent ; Decision Making ; Emotions ; Humans

To construct an evaluation indicator system on food safety management capacity for food production enterprises by Delphi method, and to provide a scientific theoretical framework for food safety management capacity for food enterprises.
 Methods: A framework for the evaluation system on food safety management capabilities was established and experts in relevant fields were invited to conduct 2 rounds of expert consultation. Indicators were selected and determined based on expert opinions and statistical analysis results. The hierarchical model was constructed by the analytic hierarchy process to determine the weight coefficients of each indicator.
 Results: The positive coefficients of the two rounds of expert consultation were 84% and 100%, and the coefficient of experts' authority was 0.826. The coordination coefficients of the indicators in the first round of consultation were 0.439, 0.323 and 0.324, and they were 0.607, 0.351, and 0.368 in the second round, respectively, with statistically significant differences (P<0.001). The evaluation index system of food safety management capacity for food production enterprises was established after the two rounds of expert consultation, and the system consisted of 5 indicators for the first level, 18 indicators for the second level and 32 indicators for the third level, with corresponding weights. 
 Conclusion: The enthusiasm, authority and concordance of experts during this consultation are good, and the selected indicators are reasonable and comprehensive, which can provide a basis for the evaluation of food safety management capabilities for food enterprises.
Delphi Technique ; Emotions ; Safety Management

OBJECTIVE: Based on the TGAM PCB module, a system of emotion control using audio-visual feedback is designed. METHODS: TGAM collects EEG information through the electrode in contact with the forehead skin. The system analyzes the user's emotion through the STM32F103ZET6 of the main control chip, and finally controls the control end of the system to regulate the user's emotion. RESULTS: It can be seen from the test results that the system can precisely recognize the user's emotions, and at the same time effectively adjust the user's emotions from both audio-visual aspects. CONCLUSIONS The system has high recognition accuracy and good adjustment effect.
Emotional Regulation ; Emotions ; Recognition, Psychology

Perception, affection and consciousness are basic psychological functions of human being. Affection is the subjective reflection of different kinds of objects. The foundation of human being's thinking is constituted by the three basic functions. Affective computing is an effective tool of revealing the affectiveness of human being in order to understand the world. Our research of affective computing focused on the relation, the generation and the influent factors among different affections. In this paper, the affective mechanism, the basic theory of affective computing, is studied, the method of acquiring and recognition of affective information is discussed, and the application of affective computing is summarized as well, in order to attract more researchers into this working area.
Affect ; Computing Methodologies ; Emotions ; Humans ; Mental Processes

In order to monitor the emotional state changes of audience on real-time and to adjust the music playlist, we proposed an algorithm framework of an electroencephalogram (EEG) driven personalized affective music recommendation system based on the portable dry electrode shown in this paper. We also further finished a preliminary implementation on the Android platform. We used a two-dimensional emotional model of arousal and valence as the reference, and mapped the EEG data and the corresponding seed songs to the emotional coordinate quadrant in order to establish the matching relationship. Then, Mel frequency cepstrum coefficients were applied to evaluate the similarity between the seed songs and the songs in music library. In the end, during the music playing state, we used the EEG data to identify the audience's emotional state, and played and adjusted the corresponding song playlist based on the established matching relationship.
Algorithms ; Electrodes ; Electroencephalography ; Emotions ; Humans ; Music ; Software