• Journal of English Language & Literature
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• v.54 no.4
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• pp.483-509
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• 2008

For the last decades, criticism on Frankenstein has tried to make a link between Victor's Creature and Rousseaurean "man in a state of nature." Like the Rousseaurean savage in a state of animal, the monster has only basic instincts least needed for his survival, i.e. self-preservation, but turns into a civilized man after learning language. Most critics argue that, despite the monster's acquisition of language, his failure in entry into a cultural and linguistic community is the outcome of a lack of sympathy for him by others, which displays the stark existence of epistemological barriers between them. That is to say, the monster imagines his being the same as others in the pre-linguistic stage but, in the linguistic stage, he realizes that he is different from others. Interpreting the Rousseaurean idea of language, which appears in his writings, as much more focused on emotion than many critics think, I read the dispute between Victor and his Creature as a variation of parent-offspring conflict. Shelley criticizes Rousseau's parental negligence in putting his children into a foundling hospital and leaving them dying there. The monster's revenge on uncaring Victor parallels the likely retaliation Rousseau's displaced children would perform against Rousseau, which Shelley imaginatively reproduces in her novel. The conflict between the monster and Victor is due to a disrupted attachment between parent and child in terms of Darwinian developmental psychology. Affective asynchrony between parent and child, which refers to a state of lack of mutual favorable feelings, accounts for numerous dysfunctional families. This paper shifts a focus from a semiotics-oriented perspective on the monster's social isolation to a Darwinian perspective, drawing attention to emotional problems transpiring in familial interactions. In doing so, it finds that language is a means of communicating one's internal emotions to others along with other means such as facial expressions and body movements. It also demonstrates that how to promote emotional well-being in either familial or social relationships entirely depends on the way in which one employs language that can entail either pleasure or anger on hearers' part.

• Journal of the Korean Society of Food Culture
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• v.23 no.4
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• pp.455-461
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• 2008

The purpose of this study was to investigate the actual conditions, satisfaction towards, and effects of children's cooking activity programs held at children's cooking schools, which have recently been gaining interest as an effective integrated educational method. Also, based on the results, the study provides information on good teaching-learning methods, which can be applied to kindergarten and elementary schools. The results of the evaluation showed that 84.1% of the respondents were satisfied with the educational aspects of the programs. People were most satisfied with the teachers' "teaching ability", and were least satisfied with "the educational fees". The satisfaction scores for the children's cooking programs were higher when they were performed in a school class environment as compared to a cultural center environment, and children who had participated for more than 12 months were more satisfied than those who had only participated 1 to 3 months. Quantitatively, of the 24 measured evaluation categories grouped into 6 fields that measured the effects of participation in the cooking programs, the greatest effects were found on the children's self-confidence and sense of achievement in the social emotion field, and the lowest effect was found on their writing ability in the language field. In addition, scores were higher when the cooking activities were performed in a private cooking school environment as compared to a cultural center environment. Scores were also higher when the educational program lasted 7 to 9 months as compared to only 1 to 3 months.

• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.77-88
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• 2019

As the social interest of the Baby Boomer generation is increasing, this study derives implications for lifelong education policy through identification of the need and support for lifelong education among baby boomers lifelong learning, taking into account such aspects of quality of life as emotional psychology-based self-development and self-realization. To optimally explore support for lifelong learning for the baby-boomer generation, first-tier (top-level), sixth-tier (bottom-level), and five-other evaluation criteria were available. For the first layer, we examined whether potentiality or realizability was more desirable, and for the second layer, detailed criteria for realizability were set up, dividing them into financial, legal, and administrative feasibility. A study conducted by experts on the policy priority analysis of Baby Boomers showed that their support for lifelong learning places a greater priority on its feasibility (the more feasible alternative) than desire (the more desirable option). Among the six criteria, lifestyle activities had high priority, and the relative importance of the five assessment alternatives for lifetime learning activities was shown to be higher for employment skills education (0.377), civil participation education (0.181), lifestyle activities (0.200), and 'lifetime activities' (06.11). These results are meaningful: they can help shape and refine the needs of lifelong education, assess their relative importance, and prepare basic data for lifelong learning policies for baby boomers who are about to enter their old age.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.204-210
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• 2016

The reason to research the musical is it has a lot of useful things for the various studies department not only Korea Musical Theatre own although it has been a successful musical theater on the Off-Broadway by Reboot culture era. Even though does not release on Korea, the popular of the show and powerful results of environments have delivered through the international magazines and Youtube channels to Korea. To study of Musical will be lead us to the world which adopted to the social problems as the youth school violence, family communication hurdle, and religion missing by script not only the musical drama but the interpretation for Teen-agers social problem. There are many kinds of Neo educations are proved by smart learning as STEAM. The students who have been studied with the smartphone, I-pad, personal computer, or laptop as smart tools for class are familliar as feedback processing speedly. It would make them learn the skill for their knowledge of a digital age, but it should not let them how to understand other people's emotion as real although STEAM has emtion part. Besides they have communicated on the social network not the ordinary man but the special ego by themselves, as mention or retweet as like their amusements and make the gossip group. This study would show the perspective for understanding Teen-agers Social Problem and who is the victims today's juvenile problems though the musical based on Jim Taulli's directing.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.9-17
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• 2021

Humans are social animals that have gained information or social interaction through dialogue. In conversation, the mood of the word can change depending on the sensibility of one person to another. Relationships between characters in films are essential for understanding stories and lines between characters, but methods to extract this information from films have not been investigated. Therefore, we need a model that automatically analyzes the relationship aspects in the movie. In this paper, we propose a method to analyze the relationship between characters in the movie by utilizing deep learning techniques to measure the emotion of each character pair. The proposed method first extracts main characters from the movie script and finds the dialogue between the main characters. Then, to analyze the relationship between the main characters, it performs a sentiment analysis, weights them according to the positions of the metabolites in the entire time intervals and gathers their scores. Experimental results with real data sets demonstrate that the proposed scheme is able to effectively measure the emotional relationship between the main characters.

• School Mathematics
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• v.18 no.3
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• pp.667-689
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• 2016

Value is an intellectual and an affective concept that influences behavior. It does not exist individually but is conveyed through generation with some system. Korean students showed high achievement scores in spite of low emotion in mathematics learning. The objects of value recognition ought to be extended to social value as well as mathematics for balancing intellectual and affective features. Since the value formed at the first step in mathematics learning keeps its influence even after learning, it is important to form a positive recognition in the value. The following conclusions were drawn. First, the mathematics learning value instrument developed in this study. It is appropriate to explain a students' imbalance of intellectual and affective characteristics. Second, it is possible that the intellectual achievement of Korean students are influenced by the others-oriented value in particular. Third, the recognition of the mathematics learning value of elementary school students would have an influence on secondary school learning. Therefore, education for parents of elementary school students is required. This study can provide a basis on the view of the mathematics learning value which influences the educational result of Korean elementary students as well. It is expected from the following studies that focus on improving affective characteristics on mathematics learning of Korean students is beneficial.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.32-41
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• 2023

Recently, many studies are being conducted to extract emotion from text and verify its information power in the field of finance, along with the recent development of big data analysis technology. A number of prior studies use pre-defined sentiment dictionaries or machine learning methods to extract sentiment from the financial documents. However, both methods have the disadvantage of being labor-intensive and subjective because it requires a manual sentiment learning process. In this study, we developed a financial sentiment dictionary that automatically extracts sentiment from the body text of analyst reports by using modified Bayes rule and verified the performance of the model through a binary classification model which predicts actual stock price movements. As a result of the prediction, it was found that the proposed financial dictionary from this research has about 4% better predictive power for actual stock price movements than the representative Loughran and McDonald's (2011) financial dictionary. The sentiment extraction method proposed in this study enables efficient and objective judgment because it automatically learns the sentiment of words using both the change in target price and the cumulative abnormal returns. In addition, the dictionary can be easily updated by re-calculating conditional probabilities. The results of this study are expected to be readily expandable and applicable not only to analyst reports, but also to financial field texts such as performance reports, IR reports, press articles, and social media.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.522-527
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• 2008

Socially Intelligent agent is the agent not only having the ability to recognize and to process human affect through learning and adaptation, but also having human-like social intelligence. By making human feel familiar with the computer, the agent is expected to enhance human-computer interaction (HCI) by providing users with the personalized services and interfaces. This paper proposes the framework for socially intelligent agents behaving socially according to the emotions recognized by ID3 algorithm and psychological OCC model. Also, the agent could process with the emotion to make socially intelligent response through three layered affect functioning model. Finally, the proposed agent can be applied for the development and application of socially intelligent agent in wide areas as the agent framework having similar affect and cognitive structure with human being.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.47-56
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• 2012

The purpose of this study is to test the effect of pedagogical agent realism and expertise on persona effect. There were two perspectives of the pedagogical agents' social interaction. Self-identification hypothesis argues that complexity of agent image is better to increase social interaction. Subjective identification insists that simplified image is more helpful to facilitate social interaction. However, from the cognitive load theory perspective, learners' expertise can be a major factor to determine persona effect. Sixty-eight college students (male=19 and female=49) participated. The independent variables were the degree of realism of pedagogical agent (detailed vs. simplified image) and the expertise (high prior knowledge group vs. low prior knowledge group). The dependant variables were comprehension test and the agent persona instrument (API). There was no significant difference in comprehension test score; however, there were significant interaction effect on the most constructs of API: 1) facilitating of learning, 2) credible, and 3) human-like. The follow-up analysis of simple main effect revealed that high expertise group showed significantly higher perception of the three construct with high realism of pedagogical agent. The results of study show that learners' expertise plays a key role of perception of persona effect.

• Industrial Engineering and Management Systems
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• v.11 no.2
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• pp.142-147
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• 2012

Individuals with autistic spectrum disorders (ASD) have difficulty inferring other people's feelings from their facial expressions and/or from situational cues, and therefore, they are less able to respond with prosocial behavior. We developed a computer-based training program to help teach the connection between facial-based or situation-based emotions and prosocial behavioral responses. An 8-year-old male school child with ASD participated in the study. In this program, he was trained to identify persons in need of help and appropriate prosocial responses using novel photo-based scenarios. When he misidentified emotions from photographs of another's face, the program highlighted those parts of the face which effectively communicate emotion. To increase the likelihood that he would learn a generalized repertoire of emotional understanding, multiple examples of emotional expressions and situations were provided. When he misidentified persons expressing a need for help, or failed to identify appropriate helping behaviors, role playing was used to help him appreciate the state of mind of a person in need of help. The results of the training indicated increases in prosocial behaviors during a laboratory task that required collaborative work. His homeroom teacher, using a behavioral rating scale, reported that he now understood another's emotion or situation better than before training. These findings indicate the effects of the training are not limited to the artificial experiment situation, but also carried over to his school life.