• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.323-338
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• 2023

TV advertising with deep analysis of watching pattern of audiences is important to set-top box audience targeting. Applying session-based recommendation model(SBR) to internet commercial, or recommendation based on searching history of user showed its effectiveness in previous studies, but applying SBR to the TV advertising was difficult in South Korea due to data unavailabilities. Also, traditional SBR has limitations for dealing with user preferences, especially in data with user identification information. To tackle with these problems, we first obtain set-top box data from three major broadcasting companies in South Korea(SKB, KT, LGU+) through collaboration with Korea Broadcast Advertising Corporation(KOBACO), and this data contains of watching sequence of 4,847 anonymized users for 6 month respectively. Second, we develop personalized session-based recommendation model to deal with hierarchical data of user-session-item. Experiments conducted on set-top box audience dataset and two other public dataset for validation. In result, our proposed model outperformed baseline model in some criteria.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.47-69
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• 2023

The main purpose of this study is to examine the mediating effects of performance satisfaction and audience loyalty through the motivation and community satisfaction of non-profit performance attendees in the local community. Motivations were examined by distinguishing between intrinsic and extrinsic factors to understand the profound desires of the audience. A survey was conducted targeting attendees who had experienced non-profit performances in the Jeju area over the past year to gather data. Ultimately, the survey responses from 363 participants were used as the basis for analysis. The results of the analysis indicated that higher levels of intrinsic and extrinsic motivations generally led to greater satisfaction and loyalty towards performances (H1, H2, H3). However, extrinsic motivation did not directly influence loyalty (H4). Nevertheless, both types of motivations were found to positively influence loyalty through performance satisfaction (H5, H8). While satisfaction with performances did not have a direct impact on community satisfaction (H6), audience loyalty was found to have a positive influence on community satisfaction (H7). Regarding motivations, performance satisfaction did not mediate the relationship between motivations and community satisfaction (H9). In the case of audience loyalty, intrinsic motivation showed mediating effects, while extrinsic motivation did not (H10). The process of motivation-satisfaction-loyalty-community satisfaction demonstrated a sequential pathway (H11). In conclusion, if local residents show interest and participate in non-profit performances, they develop a positive perception of the respective community. Therefore, performances provided at the local level should be recognized as crucial elements for the development of the community.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.1064-1070
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• 2020

In Korea, video-based news broadcasters are primarily classified into terrestrial broadcasters, general programming cable broadcasters and YouTube broadcasters. Recently, news broadcasters get subjective while targeting the desired specific audience. This violates normative expectations of impartiality and neutrality on journalism from its audience. This phenomenon may have a negative impact on audience perceptions of issues. This study examined whether broadcast news reporting conveys emotions and if so, how news broadcasters differ according to emotion type. Emotion types were classified into neutrality, happiness, sadness and anger using a convolutional neural network which is a class of deep neural networks. Results showed that news anchors or reporters tend to express their emotions during TV broadcasts regardless of broadcast systems. This study provides the first quantative investigation of emotions in broadcasting news. In addition, this study is the first deep learning-based approach to emotion analysis of broadcasting news.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.106-117
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• 2011

The purpose of this study is to examine factors that affect 3D stereoscopic movie audiences' satisfaction in Korea, and to provide strategic solutions to improve audiences' satisfaction. According to study about movie audiences' satisfaction, factors that affect movie audiences' satisfaction are separated to movie internal factors, movie environmental factors and movie audience factors. And leverage of movie internal factors is bigger than either. But 3D stereoscopic movie is different from ordinary movie in shooting, screening, seeing and recognizing method. So it is expected that movie environmental factors and audience factors' influence is bigger than internal factors. So this study carried out a survey targeting 3D stereoscopic audiences. Main result of this study are shown as follows. First, the method to reduce visual fatigue is necessary for satisfaction. Second, it is required that improvement method of seat arrangement to provide high quality 3D stereoscopic contents. Third, level of 3D stereoscopic movies' price need to adjust to valid level.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.309-316
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• 2019

Virtual Reality is broadly recognized as an "empathy machine". This reputation is due to the feeling of 'presence' that it provides to users, which is the sensation of being bodily present in a space, even when that space is virtual. The possibility of complete immersion attracts many creators looking to induce empathy and awareness about the most diverse subjects. One of the first types of VR non-fiction productions to be released was in the morally sensitive humanitarian documentary genre. This research aims to explore how VR productions differ from non-VR productions with a focus on humanitarian communication. Rather than targeting mechanical aspects of VR technology, this article compares the visual and narrative storytelling characteristics in VR and non-VR media. First, humanitarian communication and its nuances are explained. Then, 360° video filming characteristics are analyzed, followed by a comparison table contrasting VR and non-VR non-fiction. After evaluating VR non-fiction empirical studies, a discussion is initiated over the betterment of VR non-fiction storytelling in a way that could help it generate more empathy, since many productions seem to purely rely on the technology as a production novelty, and end up lacking emotional depth and audience engagement through story.

• Journal of the Korean Society of Costume
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• v.62 no.7
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• pp.185-204
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• 2012

There are lots of sexual images in the contemporary media, and this is due to many of the media formats, such as television, magazines, and the Internet, using these images to relay various messages to the people. The media uses these sexual images (i.e. woman in a bikini) in order to use sex and eroticism as a marketing tool to the audience. Unlike other men's magazines, which actually have many female readers, Maxim magazine's readers are made of mostly men, and because of this, their magazine covers are usually filled with sexy women celebrities, such as singers or actors; images that can attract the general men. This study puts its focus on evaluating Maxim magazine's marketing strategy. The strategy of targeting men in their 20's and 30's, who were not interested in reading, but were impulsive and visually oriented. The study looked at magazine covers from November 2002 (the start of the magazine) to October 2008 (the peak period of its sales), and a total of 72 images were analyzed. For each image, 5 things were recorded (model's occupation, clothing style, hairstyle, makeup, pose and gaze).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3023-3036
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• 2019

This study investigated the television (TV) content viewers' behavior influenced by online communication at the choice of new TV series on a terrestrial streaming platform. For exploring the impact of the anchoring effect on the TV content consumption, this study analyzed the correlation between the first episode's TV ratings and the data of online comments or reactions. These data were potential audiences' communication, which were generated on the online article three weeks before the first broadcasting began. To avoid the crucial influence by external factors, such as season and social issue, the test was done with eight (8) TV series which have same genre (drama), similar core audience targeting (20-49's women), similar broadcasting period (Jun-Oct 2016), same scheduling (10.00 to 11.00 pm, weekdays) and aired on terrestrial TV platforms. This research found that not only the amount of comments and reactions, but also the attitude about the comments created before broadcasting, positively influence the audiences' decision-making behavior for new TV content choices. This investigation contributes to the literature on media economics and management by exploring the media content users' consuming behavior with behavioral economics perspectives (anchoring effect) and making a first step for finding a new effect on the media content consumption.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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• pp.105-113
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• 2022

Purpose - An increase in automation has been as a result of digital technologies. The data will be instrumental in the determination of the services that are more necessary so that more resources can be allocated for them. The purpose of the current research is to investigate how big data utilization will help increase the profitability in the industry 4.0 era. Research design, Data, and methodology - The present research has conducted the comprehensive literature content analysis. Quantitative approaches allow respondents to decide, but qualitative methods allow them to offer more information. In the next step, respondents are given data collection equipment, and information is collected. Result - The According to qualitative literature analysis, there are five ways in which big data utilization will help increase the profitability in the industry 4.0 era. The five solutions are (1) Better Customer Insight, (2) Increased Market Intelligence, (3) Smarter Recommendations and Audience Targeting, (4) Data-driven innovation, (5) Improved Business Operations. Conclusion - Modern companies have been seeking a competitive advantage so that they can have the edge over other companies in the same industries providing the same services and products. Big data is that technology that businesses have always wanted for an extended period of time to revolutionize their operations, making their businesses more profitable.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.49-54
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• 2015

This study carried out a survey targeting sample of 609 audience panel voters of 15 regions including Seoul during the campaign period of Korean presidential election on December 19, 2012. It was analyzed that how the attitude to the candidate, the support to the policy and the voters'variables affected the vote-getting in the engagement attributes. The analysis shows that high participation of the engagement attributes does not always mean that the political candidate is satisfactory at the political campaign. The fact that high engagement attribute does not always affect the other attributes is interpreted that engagement attributes do not have correlation at the political campaign. And the candidate should approach the voters more carefully as there are differences among the engagement attributes in the attitude to the candidate and the support to the policy. In the engagement attributes, voters show little difference according to gender, region, income and marriage but show much difference according to age and education level. So it will be a principal index in the future political campaign.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.259-264
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• 2021

In modern socity, online communication plays a vital role in social interaction of communicities. It is so common for online users to see display advertisements online while surting the Net. Specifically, most web banners diaplayed on portral sites consist of words, phrase, and sentences. Considering that the primary purpose of adversiting is persuation, the advertisement such as web banners is an examplary case to show the interaction among pragmatics, translation and advertising because the linguistic expressions employed in the banners represent its pragmatic use, leading to persuation and functioning as a communicative tool for the smooth communication between source text producers (adversisers) and target audience (online users). This can be part of the so-called translation process. In particular, we can easily witness the use of English words in web banners. Thus, this paper looks at web banners displayed on major four portal sites-Naver, Daum, Nate, and Zum, giving a special attention to the content contained in the web banners as well as the use of English words. As s result, we found that the frequencies of English words in each portal site were higher when the advertised products were targeting young online users, whereas the frequencies were lower when the users are older group than young people. The finding supports the prgramatic perspective that linguistic expressions are understood in social contexts and shows the so-called translation process which involves a shift from semantic meaning of words to their pragmatic use. Finally, we can conclude that the interaction is possible when we have the framework where translation, pragmatics, and advertising are all communitative components for social interaction within social contexts.