• International Journal of Knowledge Content Development & Technology
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• v.12 no.4
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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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• v.16 no.1
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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.

• Electronics and Telecommunications Trends
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• v.35 no.5
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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.

• Journal of Information Technology Services
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• v.12 no.3
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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.'

• Journal of Digital Convergence
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• v.20 no.5
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• pp.741-749
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• 2022

The purpose of this study is to find out what kind of media perception can be experienced by the audience when artificial intelligence technology meets art, where new technologies are invented one after another. Among the artificial intelligence works, I selected works that stand out in relation to perception and investigated what kind of media perception the audience experiences when artificial intelligence technology meets art. By examining the characteristics of machine hallucinations, uncanny, and artificial empathy with the media perception of artificial intelligence art, these perceptions were ultimately identified as aura perception within family resemblance. In the future, artificial intelligence technology will develop further and artists will not stop experimenting with them. It is expected that the works created by artists will expand the audience's perceptual experience while providing new experiences to the audience.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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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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• v.8 no.2
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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.

• Korean Journal of Child Studies
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• v.19 no.2
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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.

• Korean journal of communication and information
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• v.37
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• pp.377-417
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• 2007

This study examines some cognitive development effects of mass media while testing the relations between mass media consumption and academic achievement and intelligence. In this research, students' television, newspaper, and internet consumption behaviors are used as independent variables which include motivations and magnitude of various content categories' and total consumption of those media. Dependent variables are school courses' test scores and eight intelligence scores based on Howard Gardner's multiple intelligence theory. It was found that media consumption magnitudes of various content categories have the most strong effects on those dependent variables. Each of various media consumption behaviors are found to have different effects according to which variable is dependent. For example, total internet consumption have positive effects on logical-mathematical intelligence but negative effects school achievements. Internet game sight have positive effects on logical-mathematical intelligence but negative effects on musical intelligence. It may be concluded that cognitive development is dependent mainly on what media contents students consume. Media consumption behaviors may have positive effects on some kinds of cognitive development and negative effects on other kinds. In other words, television or internet may have positive effects on academic achievement or intelligence contrary to popular thinking.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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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.