• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.47-57
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• 2022

Newtro is gaining popularity recently as one of the media content genres. Newtro contents are not just a restoration, but are the creations that create new values by adapting to the current situation and appealing to the nostalgia for the past. A total of 254 people participated the online survey. Result showed that users prefer Newtro content that is in the 'moderate incongruity' state with moderate novelty, rather than content that is very new or too familiar. In addition, both 'personal nostalgia' from direct past experiences and 'vicarious nostalgia' from indirect experiences were found to have a positive effect on preference for Newtro content. Finally, it was confirmed that the image of Newtro contents affected the purchase intention of Newtro contents positively. But the attitude toward Newtro contents did not. Based on these results, this study suggested the implications for the differentiation strategy of Newtro contents.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.101-107
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• 2021

Animation production is collaborated by many experts and gives many ideas for new and interesting video production. Interesting video production is a problem directly related to the success of the project, so it can be said that it is better to create an environment that is not burdened with technical aspects in expressing ideas. In the actual keyframe animation production environment, ideas are frequently modified to obtain better results, and techniques that are re-used so that the animation key pose data developed at the early stage of the possible stage can be rewritten without abandoning it, and functions that can temporarily change the center of gravity contribute to the productivity of animation work and greatly help the creator to improve the creative atmosphere. This study analyzes action animations implemented in computer animation software to examine the factors that hinder actual productivity, and derives the technical concepts that can contribute to the improvement of animation production productivity and the necessity of developing related tools.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.51-59
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• 2022

In this paper, We analyze elementary school teachers' experiences of Novel Engineering classes with phenomenological qualitative research method. The purpose of this study is to find out why elementary school teachers were interested in Novel Engineering, to find out the pros and cons of the class and the possibility of convergence classes. At first elementary teachers who participated in the study conducted a theme-based ecological sensitivity classes with Novel Engineering in the second semester of 2021. Then we conducted interview with teacher's student observation and the teacher's reflection. As a result of interview analysis, 4 components and 13 sub-components were derived. The derived components are learning from mistakes, recognition of the importance of class research, creativity in the making process, and high integration of Novel Engineering and existing subjects. Based on these results, What this research suggests is the expansion of administrative and financial support for teachers' autonomous class research and convergence classes such as Novel Engineering.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.15-20
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• 2023

This paper is a study on the development of an artificial intelligence (AI) system algorithm that recommends indirect advertising products suitable for character web dramas. The goal of this study is to increase viewers' content immersion and help them understand the story of the drama more deeply by recommending indirect advertising products that are suitable for writing lines for web dramas. In this study, we analyze dialogue and plot using the natural language processing model GPT, and develop two types of indirect advertising product recommendation systems, including prop type and background type, based on the analysis results. Through this, products that fit the story of the web drama are appropriately placed, allowing indirect advertisements to be exposed naturally, thereby increasing viewer immersion and enhancing the effectiveness of product promotion. There are limitations of artificial intelligence models, such as the difficulty in fully understanding hidden meanings or cultural nuances, and the difficulty in securing sufficient data for learning. However, this study will provide new insights into how AI can contribute to the production of creative works, and will be an important stepping stone to expand the possibilities of using natural language processing models in the creative industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.175-193
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• 2022

Although there is paradigm shift in art industry and interdisciplinary convergence between art and entrepreneurship, little has been done in "art entrepreneurship." First, this study organized the concepts of art entrepreneurship and conducted literature reviews on the trends of international and domestic research. Second, this paper aimed to understand the concept of art platform business. To do so, authors reviewed the general concept of business model and special features of platform business. Third, this paper categorized and introduced 11 art platform businesses from the based on the purposes of companies (① rental & selling, ②commercialize & selling, ③crowdfunding, ④information sharing & digital exhibition). Forth, this study provided two frameworks (①business model components, ②platform controllability and customers' information asymmetry) and applied them into 11 cases. By systematically reviewing the previous studies, this paper expects to increase scholarly understanding of the field of art entrepreneurship where two different areas (art and entrepreneurship) have studied separately. In addition, introduction and analyses of 11 online art platform have practical implications.

• Journal of Music and Human Behavior
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• v.17 no.2
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• pp.1-28
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• 2020

This case study aimed to investigate changes in adolescents' awareness of the motivation behind their excessive internet gaming after group music psychotherapy. Five middle school students participated in six 60-minute group sessions over 4 weeks. The group music psychotherapy program was developed to help participants understand their implicit reasons for excessive internet gaming. Verbal responses were obtained from pre-program and post-program interviews and original lyrics created by participants during program were collected for analysis. Obtained data were analyzed in terms of emotional and cognitive aspects in relation to the participants' awareness of the motivation behind their excessive gaming. The results showed that song writing as creative musical process allowed participants to be aware of positive and negative influence of gaming on themselves and express their motivation to change their perception on gaming behavior. Also, the participants reported that the use of musical product for their daily lives could be an effective coping strategy to manage their gaming behaviors and an alternative for gaming. The findings from this study support that group music psychotherapy can be an effective approach to promote awareness of adolescents' motives for excessive internet gaming and to help adolescents better manage their gaming behaviors.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.427-434
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• 2022

The purpose of this study is to create a self-portrait that provides an immersive experience that immerses the viewer into the problem of self-awareness. We propose a method to implement an interactive self-portrait by using audio and image information obtained from viewers. The viewer's voice information is converted into text and visualized. In this case, the viewer's face image is used as pixel information composing the text. Text is the result of a mixture of one's own emotions, imaginations, and intentions based on personal experiences and memories. People have different interpretations of certain texts in different ways.The proposed digital self-portrait not only reproduces the viewer's self-consciousness in the inner aspect by utilizing the intertextuality of the text, but also expands the meanings inherent in the text. Intertextuality in a broad sense refers to the totality of all knowledge that occurs between text and text, and between subject and subject. Therefore, the self-portrait expressed in text expands and derives various relationships between the viewer and the text, the viewer and the viewer, and the text and the text. In addition, this study shows that the proposed self-portrait can confirm the formativeness of text and re-create spatial and temporality in the external aspect. This dynamic self-portrait reflects the interests of viewers in real time, and has the characteristic of being updated and created.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.2
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• pp.189-214
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• 2018

Archival description is considered as a creation and curation process, and the results of the descriptive records can be used for archival information service. Therefore, various archival descriptive standards provide essential guidelines for establishing a semantic and synthetic structure of the archival records. In this study, the structural aspects of the archival descriptive standards were analyzed and an experimental mapping between General International Standard Archival Description (ISAD(G)), the archival standard, and CIDOC Conceptual Reference Model (CIDOC CRM), the domain ontology of cultural heritage field was performed. The data structure of ISAD(G) is examined in advance and mapping was performed using Karma as a platform. It was thus concluded that there is a need to understand the ontology-based mapping method and the event-focused domain ontology. Moreover, developing a CIDOC CRM-compatible archival ontology and restructuring the legacy ISAD(G) are needed.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.591-601
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• 2024

As generative AI-based educational content and services targeting child users rapidly increase, the need for research related to children's perception of generative AI is increasing. Accordingly, this study sought to determine the type of generative AI recognized by children and whether cognitive, behavioral, and emotional properties were assigned to it. To understand this, we collected responses through workshop activities to create storybooks with children, semi-structured interviews, and drawing. As a result, children viewed generative AI as an artifact with a high cognitive level, but it was not a type of existing artifact.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.13-14
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• 2021

본 논문은 생성모델의 학습데이터 제작기법에 대한 실험 및 결과와 향후 관련 연구의 방향을 기술한다. GAN으로 대표되는 생성모델이 아티스트에게 얼마만큼의 만족도와 영감을 주는지를 비교 실험 및 평가하기 위해서는 정제된 학습데이터가 필요하다. 하지만 현실적으로 아티스트의 작품은 데이터 세트를 만들기에는 그 수가 적고 인공지능이 학습하기에도 정제되어있지 않다. 2차 가공작업을 통하여 아티스트의 원본 작업과 유사한 데이터 세트의 구축은 생성모델의 성능향상을 위해 매우 중요하다. 연구의 결과 생성모델이 표현하기 어려운 스타일의 작가 작품을 선정한 뒤 최적의 학습데이터를 만들기 위한 다양한 실험과 기법을 통해 구축한 데이터 세트를 생성모델 알고리즘에 적용하고 실험을 통해 창작자의 작품제작 의도인 작가 진술에 최대한 유사한 이미지의 생성과 더 나아가 작가가 생각하지 못했던 창조적 모방의 결과물을 도출하였고 작가평가를 통해 높은 만족도를 얻었다.