• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.24 no.2
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• pp.78-82
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• 2013

Child labor is being recognized as the key issue of human rights, and the International Labor Organization and the Convention on the Rights of the Child emphasize that children are individuals with dignity and rights. Male and female child actors belong to a profession with wide public exposure and there is a potential danger of invading classes and roles not matching the developmental stage of the child. In this study, we would like to discuss international and domestic laws and future complementary measures surrounding legal and institutional issues that need to be considered for child actors. Although the basic rights for child workers are stated in the Constitution Article 32 Paragraph 5 and Labor Standards Act Articles 64 through 70, they are insufficient. Following the revised broadcasting deliberation regulations by the Korea Communication Commission and amendment of the Juvenile Protection Law, several changes are taking place in the working environment. In certain foreign places such as California, United States, the economic and educational rights of male and female child actors are being protected. Although legal and institutional frameworks for the male and female child actors are being reinforced, more consistent devices are needed. Consideration for working hours, regulations to keep up with learning while working, and preparation for physical and emotional influences are required to keep up with international changes.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.24 no.2
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• pp.57-64
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• 2013

This study was conducted to evaluate the psychological changes and influences of child actors depending on their role. First, we met the film producer of Dogani and discussed about the filming condition. Second, we visited filming locations during the filming of Neighborhood, when shooting of parts involving the female child actor was taking place and evaluated the emotional states of the child actor before and after she played her role. Third, we interviewed various people of the movie industry, which included adult actors, directors, a professor of films and broadcasting who was a former child actor and a scriptwriter. In case of the film Dogani, the production crew provided enough care and protection and we concluded that child actors had no psychological sequelae. After interviewing the child actor and visiting filming locations, we confirmed that the child actor was not influenced by playing certain roles. In addition, after interviewing various people related to filming, we thought that child actors might not have psychological sequelae related to the character played. To the best of our knowledge, this is the first study about influences of the playing character for child actors. We concluded that playing certain roles would not have negative effects on child actors.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.86-94
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• 2015

This study is carried out to critically explore the direction of the improvement of the protection clauses of minor artists which is the core of Popular Culture Art Industrial Development Act enforced from July 29, 2014. The analysis shows that the law accepted the social issues such as the prevention of procuring minor prostitution, slave contracts(unfair long-term contracts), and third party's profit-extortion. However, the law missing or not specifically stated about age-based differential enforcement of work hours, dangerous acting scenes shouldn't be forced to minors, right to sleep, health, and study, as well as the penalty regulations in violation of each clause. Consequently, the Act's revision and supplementation is necessary to fully meet above insufficiencies referring to foreign practices.

• The Transactions of the Korea Information Processing Society
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• v.13 no.6
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• pp.284-290
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• 2024

Speech emotion recognition (SER) is a technique that is used to analyze the speaker's voice patterns, including vibration, intensity, and tone, to determine their emotional state. There has been an increase in interest in artificial intelligence (AI) techniques, which are now widely used in medicine, education, industry, and the military. Nevertheless, existing researchers have attained impressive results by utilizing acted-out speech from skilled actors in a controlled environment for various scenarios. In particular, there is a mismatch between acted and spontaneous speech since acted speech includes more explicit emotional expressions than spontaneous speech. For this reason, spontaneous speech-emotion recognition remains a challenging task. This paper aims to conduct emotion recognition and improve performance using spontaneous speech data. To this end, we implement deep learning-based speech emotion recognition using the VGG (Visual Geometry Group) after converting 1-dimensional audio signals into a 2-dimensional spectrogram image. The experimental evaluations are performed on the Korean spontaneous emotional speech database from AI-Hub, consisting of 7 emotions, i.e., joy, love, anger, fear, sadness, surprise, and neutral. As a result, we achieved an average accuracy of 83.5% and 73.0% for adults and young people using a time-frequency 2-dimension spectrogram, respectively. In conclusion, our findings demonstrated that the suggested framework outperformed current state-of-the-art techniques for spontaneous speech and showed a promising performance despite the difficulty in quantifying spontaneous speech emotional expression.