• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.283-296
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• 2012

The goal of this study is to determine the social emotion model as an emotion sharing relationship and information sharing relationship based on the user's relations at social networking services. 26 social emotions were extracted by verification of compliance among 92 different emotions collected from the literature survey. The survey on the 26 emotion words was verified to the similarity of social relation types to the Likert 7-points scale. The principal component analysis of the survey data determined 12 representative social emotions in the emotion sharing relation and 13 representative social emotions in the information sharing relation. Multidimensional scaling developed the two-dimensional social emotion model of emotion sharing relation and of information sharing relation based on online communication environment. Meanwhile, insignificant factors in the suggest social emotion models were removed by the structural equation modeling analysis, statistically. The test result of validity analysis demonstrated the fitness of social emotion models at emotion sharing relationships (CFI: .887, TLI: .885, RMSEA: .094), social emotion model of information sharing relationships (CFI: .917, TLI: .900, RMSEA : 0.050). In conclusion, this study presents two different social emotion models based on two different relation types. The findings of this study will provide not only a reference of evaluating social emotions in designing social networking services but also a direction of improving social emotions.

• Korean Journal of Child Studies
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• v.37 no.4
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• pp.101-115
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• 2016

Objective: The study examined the mediated-moderation effect of social-support levels from maternal-acceptance experiences by the parents of origin to child emotion regulation strategies through an emotion-coaching reaction. Methods: The participants in this study were children (Grades 4-6) and their mothers. They completed questionnaires on Maternal Parenting Experiences Scale, Children's Emotion Regulation Scale, Emotion-Coaching Scale, and Social Supportive Level Scale. Data were analyzed via SEM. Results: The main findings were as follows. First, a mediating model showed that the relationship between maternal-acceptance experiences by the parents of origin and child emotion-regulation strategies was mediated by emotion-coaching reactions. Second, there was a moderation effect of social-supportive levels on the relationship between maternal-acceptance experiences from parents of origin and emotion-coaching reaction. Finally, social-supportive levels mediated the moderation effect of social-support level from maternal-acceptance experiences to child emotion-regulation strategies through emotion-coaching reaction. Conclusion: These results indicate that importance of maternal social-supportive level from owns spouse or friends. I discussed the implications of the intervention of parent counseling and parent education in this research.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.113-120
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• 2016

People use social media platforms such as Twitter to leave traces of their personal thoughts and opinions. In other words, social media platforms retain the emotions of the people as it is, and accurately understanding the emotions of the people through social media will be used as a significant index for disaster management. In this research, emotion type modeling method and emotional quotient quantification method will be proposed to understand the emotions present in social media platforms. Emotion types are primarily analyzed based on 3 major emotions of affirmation, caution, and observation. Then, in order to understand the public's emotional progress according to the progress of disaster or accident and government response in detail, negative emotions are broken down into anxiety, seriousness, sadness, and complaint to enhance the analysis. Ultimately, positive emotions are further broken down into 3 more emotions, and Russell emotion model was used as a reference to develop a model of 8 primary emotions in order to acquire an overall understanding of the public's emotions. Then, the emotional quotient of each emotion was quantified. Based on the results, overall emotional status of the public is monitored, and in the event of a disaster, the public's emotional fluctuation rate could be quantitatively observed.

• Korean Journal of Child Studies
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• v.30 no.3
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• pp.85-98
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• 2009

The purpose of this study was to examine the path model of child's sex, temperament, maternal parenting behavior, and child's emotion regulation on child social behaviors. The subjects were 286 elementary school children. Data were gathered through questionnaires reported by mothers and teachers. Path analysis revealed that (1) mother's overprotective or coercive parenting behaviors effected neither child's emotion regulation nor social behaviors (2) child's sex and activity level effected child's aggression both directly and indirectly through child's emotion regulation (3) child's 'activity level' and 'avoidance' temperament effected child's social withdrawal both directly and indirectly through child' emotion regulation. Findings underscore the role of emotion regulation as a mediator in predicting child aggression and social withdrawal.

• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.133-141
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• 2015

Mass multimedia contents are shared through various social media servies including social network service. As social network reveals user's current situation and interest, highly satisfactory personalized recommendation can be made when such features are applied to the recommendation system. In addition, classifying the music by emotion and using analyzed information about user's recent emotion or current situation by analyzing user's social network, it will be useful upon recommending music to the user. In this paper, we propose a music recommendation method that makes an emotion model to classify the music, classifies the music according to the emotion model, and extracts user's current emotional state represented on the social network to recommend music, and evaluates the validity of our method through experiments.

• Korean Journal of Child Studies
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• v.36 no.2
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• pp.167-182
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• 2015

This study created a structural model of the influence of paternal and maternal meta-emotion philosophy and children's emotion regulation in terms of their social competence and confirmed the nature of the relationship among the variables. For the purpose of this study, data was collected, targeting 363 children in the $5^{th}$ and $6^{th}$ elementary school grades from schools located in Seoul. The main results of this study were as follows: First, both paternal and maternal meta-emotion philosophy had an influence on children's emotion regulation and emotion dysregulation. Next, paternal and maternal meta-emotion philosophy did not appear to have a significant influence on children's social competence in a direct manner. The complete mediation effect of emotion regulation in regards to the influence of paternal and maternal meta-emotion philosophy upon children's social competence was confirmed. It was also found that parental meta-emotion philosophy had an influence upon children's social competence in an indirect manner through children's emotion regulation in the period of middle childhood.

• The Journal of Information Systems
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• v.21 no.3
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• pp.117-136
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• 2012

Given to the prevalence of social commerce such as Groupon, Ticketmonster, and Coupang, it has become critical to understand customer purchasing behavior in social commerce environments. When consumers make purchasing decisions in social commerce, they often act impulsively. This is because social commerce is a deal-of-the-day website that features discounted gift certificates usable at local companies. However, the vast majority of social commerce research has viewed consumer decision-making as a rational process. This study develops a theoretical framework to investigate key drivers of customer's impulsive purchasing in social commerce. This study identifies flow, positive emotion, negative emotion, social commerce attractiveness, and discounted price as the key antecedents of impulsive purchasing. Data collected from 164 users who had prior purchasing experiences with social commerce were empirically tested against the research model using partial least squares analysis. The analysis results indicate that flow plays an important role in facilitating customers' impulsive purchasing in social commerce environments. Moreover, the findings show the exact roles of positive emotion, negative emotion, social commerce attractiveness, and discounted price on consumer's impulsive purchasing.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.2
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• pp.91-101
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• 2008

For a friendly interaction between human and robot, emotional interchange has recently been more important. So many researchers who are investigating the emotion generation model tried to naturalize the robot's emotional state and to improve the usability of the model for the designer of the robot. And also the various emotion generation of the robot is needed to increase the believability of the robot. So in this paper we used the hybrid emotion generation architecture, and defined the generalized context input of emotion generation model for the designer to easily implement it to the robot. And we developed the personality and loyalty model based on the psychology for various emotion generation. Robot's personality is implemented with the emotional stability from Big-Five, and loyalty is made of familiarity generation, expression, and learning procedure which are based on the human-human social relationship such as balance theory and social exchange theory. We verify this emotion generation model by implementing it to the 'user calling and scheduling' scenario.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.179-186
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• 2011

Objective: This study is to review three representative psychological perspectives that explain scientific construct of emotion, that are the discrete emotion model, appraisal model, and dimensional model. Background: To develop emotion sensitive interface is the fusion area of emotion and scientific technology, it is necessary to have a balanced mixture of both the scientific theory of emotion and practical engineering technology. Extensional theories of the emotional structure can provide engineers with relevant knowledge in functional application of the systems. Method: To achieve this purpose, firstly, literature review on the basic emotion model and the circuit model of discrete emotion model as well as representative theories was done. Secondly, review on the classical and modern theories of the appraisal model emphasizing cognitive appraisal in emotion provoking events was conducted. Lastly, a review on dimensional theories describing emotion by dimensions and representative theories was conducted. Results: The paper compared the three models based on the prime points of the each model. In addition, this paper also made a comment on a need for a comprehensive model an alternative to each model, which is componential model by Scherer(2001) describing numerous emotional aspects. Conclusion: However, this review suggests a need for an evolved comprehensive model taking consideration of social context effect and discrete neural circuit while pinpointing the limitation of componential model. Application: Insight obtained by extensive scientific research in human emotion can be valuable in development of emotion sensitive interface and emotion recognition technology.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.73-74
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• 2012