• International Journal of Knowledge Content Development & Technology
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• 제12권4호
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• pp.7-23
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• 2022

Media utilization in colleges of education in Nigeria is compulsory to train pre-service teachers. Psychological variables (emotional intelligence, and self-efficacy) and media improvisation were investigated on media resources utilization among lecturers in colleges of education in the South-West, Nigeria. The descriptive design was adopted and multi-staged procedure was used to select 812 (493 males; 319 females). Emotional intelligence (r = 0.79), media improvisation (r = 0.71), self-efficacy (r = 0.85 and media resources utilization r = 0.96) scales were used for data collection. The data were analyzed using descriptive statistics and Pearson product moment at 0.05 level of significance. The level of emotional intelligence, self-efficacy and media improvisation were high. Significant relationship existed among: emotional intelligence (r = 0.42), Media improvisation (r = 0.46) and Teaching self-efficacy (r = 0.31) to media resources utilization. It recommended that lecturers' emotional intelligence, self-efficacy and media improvisation are to be promoted in colleges of education.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.253-260
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• 2024

We studied to aim for exploring practical approaches to enhance the effectiveness of creativity education by using artificial intelligence and the metaverse in the field of media contents. Recognizing the need for educational innovation to adapt to the accelerating changes driven by the advancements in artificial intelligence and the metaverse, and considering the increasing importance of fostering creativity as a key competitive advantage for future talents, we focused on research implementing creativity education in the media contents domain. To achieve this, we conducted this study during a semester-long media contents course utilizing artificial intelligence and the metaverse in real classroom setting. We involved in this study collecting feedback and opinions from students to investigate and identify effective strategies for enhancing the impact of creativity education. As a result, we proposed the utility of media contents class using artificial intelligence and the metaverse in enhancing students' creativity. By elucidating which teaching methods are most effective, we contributed to derive beneficial outcomes for media contents creative education.

• 전자통신동향분석
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• 제35권5호
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• pp.92-101
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• 2020

Artificial intelligence (AI) has become the hottest topic in information and communications technology (ICT) in recent years. Along with the advancement of AI technology, technologies such as big data, cloud, and high-speed wired and wireless communication are being applied to existing media areas in earnest, affecting all parts of the media value chain from content production to consumption. AI technology is now spreading across the media industry faster than any other industry. In the future, the gap between those with and without AI technology will widen, further deepening the polarization of the media ecosystem. Media intelligence, which combines media and AI technologies, is now perceived as essential, not optional. In this paper, we examine the current status of technology development and standardization by major domestic and foreign institutions on how AI is being utilized in the media industry. In addition, we discuss what technology should be developed to lead media intelligence.

• 한국IT서비스학회지
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• 제12권3호
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• pp.127-149
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• 2013

Is the social web environment in which production, distribution and consumption of information occurs from users an environment where manifestation of collective intelligence is easily made? Or is the social web environment a condition that incites people to depend on the groupthink due to biased information? It is important to conduct empirical studies on the possibility of social media as a tool of collective intelligence under the situation where conflicting opinions prevail. However, most of the existing studies related to this were limited to an exploratory research rather than an empirical research. In this regard, this study attempted to examine if the social media can perform a part as a platform of the collective intelligence empirically. Based on the experimental results, it can be safely said that the communication methods of social media showed its usefulness in both 'intellectual capacity of the group' and 'problem-solving skill of the group.'

• 디지털융복합연구
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• 제20권5호
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• pp.741-749
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• 2022

본 연구의 목적은 새로운 기술들이 속속 발명되는 오늘날 인공지능 기술이 예술과 만나 어떠한 매체 지각을 수용자로 경험케 하는지 알아보고자 하는 것이다. 인공지능 작품들 중 지각과 관련되여 부각되는 작품들을 위주로 하여 인공지능 기술이 예술과 만나 어떠한 매체 지각을 수용자로 경험케 하는지 알아보았다. 인공지능 미술의 매체 지각으로 기계 환각, 언캐니 그리고 인공 공감의 특성을 규명하면서 이러한 지각들이 결국은 가족유사성 안에서 아우라 지각임을 규명하였다. 앞으로 인공지능 기술은 더욱 발달하게 되고 예술가들은 그들의 실험을 멈추지 않을 것이다. 예술가들에 의해 생성된 작품들은 새로운 경험들을 관객에게 제공하면서 관객들의 지각 경험을 확장 해 가리라 기대해 본다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.804-809
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• 2004

Intelligence is thought to be related to interaction rather than a deep but passive thinking. Interactive tangible media "iT_Media" is proposed to explore these issues. Personal robotics is a major area to investigate these ideas. A new design methodology for personal and emotional robotics is proposed. Sciences of the artificial and intelligence have been investigated. A short history of artificial intelligence is presented in terms of logic, heuristic, and mobility; a science of intelligence is presented in terms of imitation and understanding; intelligence issues for robotics and intelligence measures are described. A design methodology for personal robots based on science of emotion is investigated. We investigate three different aspects of design: visceral, behavioral, reflective. We also discuss affect and emotion in robots, robots that sense emotion, robots that induce emotion in people, and implications and ethical issues of emotional robots. Personal robotics for the elderly seems to be a major area in which to explore these ideas.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.56-67
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• 2019

The aim of this study is to develop Artificial Intelligence (AI) based business models of media firms. We define AI and discuss 'AI activity model'. The practices of the efficiency model are home equipment-based personalization and media content recommendation. The practices of the expert model are media content commissioning, content rights negotiation, copyright infringement, and promotion. The practices of the effectiveness model are photo & video auto-tagging and auto subtitling & simultaneous translation. The practices of the innovation model are content script creation and metadata management. The related use cases from 2012 to 2017 are introduced along the four activity models of AI. In conclusion, we propose for media companies to fully utilize the AI for transforming from traditional to successful digital media firms.

• 아동학회지
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• 제19권2호
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• pp.3-17
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• 1998

Five metropolitan cities in Korea were the setting for a survey of the use of media by 622 families. Correlations with children's problem behavior, cognitive development, and family environment were analyzed. Parents completed questionnaires on media use by family members, children's problem behavior, and family environment. Children were tested individually with 4 sub-scales of the Wechsler Intelligence Scale. There were age as well as sex differences in the use of media. There were correlations between children's use of media and their problem behavior, intelligence, and family environment. Regression analyses revealed that the parents' use of media was the most important determinant of children's use of media. Therefore, adult media education as well as children's education is recommended as a way to improve the media environment for children.

• 한국언론정보학보
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• 제37권
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• pp.377-417
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• 2007

본 연구에서는 이제까지 매스미디어 효과론 연구에서 등한시 되어온 매스미디어의 긍정적 효과를 학생들의 지능발달과 학업성적과 매스미디어 이용과의 상관관계를 통해 그 가능성을 점검해보고자 하였다. 매스미디어의 이러한 효과를 총체적으로 매스미디어의 '인지개발 효과'라는 한다면, 이제까지의 인지개발효과 연구들에는 텔레비전에 관한 연구가 대부분이라고 할 수 있다. 뿐만 아니라, 아이큐(IQ)를 종속변인으로 사용해 왔지만 아이큐검사의 타당성에 한계가 많기 때문에 새로운 지능이론을 원용하여 인지개발효과를 검증해볼 필요도 있다고 하겠다. 본 연구의 의의를 요약하면, 첫째는 텔레비전과 신문, 그리고 인터넷 전체를 대상으로 기존 연구에서 산발적으로 사용된 매체들의 이용 동기, 이용량, 그리고 이용형태 모두를 독립변인으로 설정하여 그 영향력을 비교 검토하였고, 둘째는 종속변인으로서의 지능개념에 새로운 다중지능이론을 원용했다는 점을 들 수 있다. 연구결과를 보면, 지능과 학업성적의 경우 모두에서 매체 이용형태가 가장 많은 영향을 미치는 것으로 나타났는데, 이는 학생들의 지능 발달이나 학업성적에 있어서 어떤 내용을 접하느냐가 중요하며, 접촉하는 내용에 따라서는 인지개발에 긍정적인 영향을 미칠 수 있는 것으로 나타났다. 인간의 지능을 여러 가지로 나누어 보았을 때에 매체관련변인들이 지능의 종류에 따라 각각 상반된 영향을 미치고 있다는 것도 본 연구의 중요한 발견의 하나라고 할 수 있다. 따라서 매체관련변인들이 8개의 다중지능들과 학업성적에 미치는 영향이 각각 다르다는 점에서 설정된 종속변인에 따라 그에 대한 설명틀도 각각 달라져야 할 것으로 생각된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.2966-2986
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• 2023

Climate change is a constant threat to human life, and it is important to understand the public perception of this issue. Previous studies examining climate change have been based on limited survey data. In this study, the authors used big data such as news articles and social media data, within which the authors selected specific keywords related to climate change. Using these natural language data, topic modeling was performed for discourse analysis regarding climate change based on various topics. In addition, before applying topic modeling, sentiment analysis was adjusted to discover the differences between discourses on climate change. Through this approach, discourses of positive and negative tendencies were classified. As a result, it was possible to identify the tendency of each document by extracting key words for the classified discourse. This study aims to prove that topic modeling is a useful methodology for exploring discourse on platforms with big data. Moreover, the reliability of the study was increased by performing topic modeling in consideration of objective indicators (i.e., coherence score, perplexity). Theoretically, based on the social amplification of risk framework (SARF), this study demonstrates that the diffusion of the agenda of climate change in public news media leads to personal anxiety and fear on social media.