• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.289-297
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• 2020

The purpose of this study is to verify the effect of university students's innovativeness on adoption intention of academic convergence. For this objectives, the Structural Equation Model(SEM) was designed and analysed by using Lisrel. This study developed a research model, based upon TAM, to analyse the factors: personal innovativeness, social expectation, perceived usefulness and adoption intention of academic convergence. The main results are follows as: first, personal innovativeness showed a significant positive direct effect on adoption intention of academic convergence, and indirect effect through perceived usefulness on it. Second, through perceived usefulness, there was indirect effect between social expectation and adoption intention of academic convergence. The SEM in this study showed the statistical significance, which the model fit was χ²=22.638(df=29, p=.793). Based upon the result of analyses, the study suggested to develop the subject and non-subject educational program through which students experience innovativeness and usefulness for academic convergence. Especially, the change of the role and the task of the curriculum of liberal arts was.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.21-31
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• 2018

In Hyper-Connected Society, IoT-based Lifelog data is used throughout the Internet and is an important component of customized services that reflect user requirements. Also, Users are using social network services to easily express their interests and feelings, and various life log data are being accumulated. In this paper, Intelligent characters using IoT based lifelog data have been developed and qualitative/quantitative data are collected and analyzed in order to systematically grasp emotions of users. For this, qualitative data through the social network service used by the user and quantitative data through the wearable device are collected. The collected data is verified for reliability by comparison with the persona through esnography. In the future, more intelligent characters will be developed to collect more user life log data to ensure data reliability and reduce errors in the analysis process to provide personalized services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.51-58
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• 2023

The purpose of this study is to identify various variables that affect the intention to use the metaverse, which has recently attracted attention. In particular, while previous studies have focused only on the variables that have a positive effect on the spread of the metaverse, this study tried to examine both the use and resistance perspectives by examining the psychological variables of consumers who reject specific changes, such as innovation resistance. By constructing consumer characteristics and innovation characteristic variables that affect innovation diffusion, the relationship between innovation resistance, attitude toward the metaverse, and intention to use the metaverse was examined. As a result of the study, it was found that innovation propensity, social image, and conformity had a negative effect on resistance to the metaverse. In addition, innovation propensity, social image, suitability, relative advantage, complexity, and observability mediate innovation resistance and attitudes toward the metaverse, and were finally revealed as variables that have positive or negative influences on the intention to use the metaverse.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.366-382
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• 2023

Among the many novels penned by Thomas Hardy, the novel "Tess of the d'Urbervilles" came into print in 1891.In this novel, Hardy portrays Tess who was born and raised in a rural middle-class family but ends up working as a laborer, trapped in a society where she is subjugated by the men's wealth, leading a life marked by loneliness and isolation. The novel presents the status of women, moral struggles, and the challenging fate that they must overcome. It highlights the powerlessness of women living in a structurally unreasonable social environment, forced to depend on the ever-changing twists of destiny. This story delves into the complexities of love between the genders, moral conflicts, and the societal criticism that must be confronted. By utilizing the life of the young woman Tess, it underscores the struggle for existence and elucidates the roles, expectations, and constraints imposed on gender during the Victorian era. This research paper aims to compare the roles of women in the Victorian era in Britain and woman in contemporary Korean society. The Victorian era featured rigid gender norms, confining women to prescribed roles. In contrast, modern Korean society blends tradition and modernity, empowering women to play vital roles and reshape societal norms. Our research explores the interplay of tradition and change, providing a comprehensive understanding of women's evolving roles in both historical and contemporary contexts. We will present our discussions regarding the enduring roles that women have faced in both periods. Furthermore, we aim to highlight the distinctive roles women are called upon to play while dealing with the swift transformations in contemporary Korean society, recognizing them as essential agents in the agents in advancing Korean society.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.9-15
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• 2019

The government has defined domestic violence as one of the four major social evils and tried to prepare laws and systems to prevent it. Nevertheless, domestic violence has emerged as a serious social issue, and compare to the number of domestic violence cases that are constantly increasing, the report rate of domestic violence is significantly lower. This suggests the need to improve citizens' perception of domestic violence as the issue to solve it together in society, not as a private matter at home. Most of existing contents for preventing domestic violence and improving awareness are simple viewing forms of video contents, which have little effect on recognition. We aim to confirm the possibility of improving social awareness about domestic violence by producing Virtual Reality (VR) contents that have great features of user's immersion and empathy. In this VR content, the user can interact with various objects in the virtual reality of domestic violence and directly or indirectly experience the victim's position. Users who view the violent environment from the victim's point of view can have a subjective empathy for the problem, which is expected to induce more active awareness about domestic violence.

• Journal of Broadcast Engineering
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• v.18 no.1
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• pp.98-105
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• 2013

Patterns for generating and consuming contents are various in these days from conventional broadcasting contents to UCC. There are many researches on developing recommendation engines based on user's profile for providing desired contents. In this paper we propose a contents recommendation system using not only user's profile but other's profiles in closed user group of the social network based on patterns for user's consuming contents. The proposed recommendation agent update user's profile using usage history and other's profiles related to the user in the closed user group.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1564-1573
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• 2016

With the spread of social media and mobile devices, people spend more time on online than ever before. As more people participate in various online activities, much research has been conducted on how to make use of the time effectively and productively. In this paper, we propose two methods which can be used to extract highlights and make searchable media indexes using online social data. For highlight extraction, we collected the comments from the online baseball broadcasting website. We adopted peak-finding algorithm to analyze the frequency of comments uploaded on the comments section of the website. For each indexes, we collected postings from soap opera forums provided by a popular web service called DCInside. We extracted all the instances when a character's name is mentioned in postings users upload after watching TV, which can be used to create indexes when the character appears on screen for the given episode of the soap opera The evaluation results shows the possibility of the crowdsourcing-based media interaction for both highlight extraction and index building.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.142-149
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• 2022

This study aims to develop the education for college students who should perform the social role of the fut ure by conducting trekking activities including the characteristics, history, and culture of Cheonan area and then investigating the sociality and history of 36 college students. Taejosan, Seonggeosan, and Heukseongsan, which are part of the independent ring of Cheonan city, were selected as courses. The training was conducted by six instructors majoring in humanities, history, physical education and medicine. Teachers of humanities and history majors conducted theoretical lectures to raise the historical awareness of Cheonan area related to trekking course. In trekking practice, instructors of physical education and medicine majored in trekking safety education and course progress. Among the social development factors, responsibility, autonomy, and sociality were high. After the education, students recognized that the interest and necessity of history were high in order to understand the present society, thought that they made a lot of development compared to the previous one, and answered that the main development factors of history were the people and that there was a change in perception through this education. This study was composed of the survey after the education, so the psychological characteristics of the individual were not reflected, and it is difficult to generalize it because the number of subjects is small. In the future, more subjects need to be investigated and local residents need to investigate changes in local awareness.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.