• 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.

• Journal of the Korean Society of Food Culture
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• v.35 no.3
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• pp.233-240
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• 2020

This study examined the nutrient content of HMR products and recipes by television chefs. Twelve menu items from the soup, stew, and broth category were chosen from HMR products and TV chef's recipes. The data on the nutrition labeling from the HMR products and TV chef's recipes were calculated using Can-Pro 5.0. The results of the analysis were the differences between the HMR products and TV recipes per serving size. The energy content of TV recipes 236.1 kcal was significantly higher than the HMR products. On the other hand, HMR products contained significantly higher sodium (926.9 mg) levels than the TV recipes (565.8 mg). In general, HMR products contained more sodium and less energy and protein than TV recipes. The highest sodium content containing products among the 12 menu items was the Spicy soft tofu stew (1,421.4 mg) from HMR products. The results revealed the significant differences in the macronutrient and sodium content between HMR products and the TV chef's recipe. This study provides supportive data for the need to reduce the sodium content in HMR products. TV cooking programs should focus on the importance of balanced nutrition, how to reduce sodium intake, and how to achieve this without disrupting well-balanced nutrition.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.319-326
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• 2022

As digital content services, especially OTT(over-the-top) video services, diffuse rapidly, so do smartTVs. Based on the indirect network effect theory and the complementarity theory, this study explores the relationship between digital content services and smartTV. Using the Media panel dataset, this study analyzes how the usage of digital content service (OTT usage, OTT usage volume, the usage of various OTT service types, and online game/music/education/news service) affects smartTV usage. This study shows that OTT usage and its usage volume is positively associated with smartTV usage, and that the usage of various OTT service types is positively associated with smartTV usage compared with non-OTT users. As for online content services, the usage of online education service is positively associated with smartTV usage while the usage of online news service is associated negatively. These results support the indirect network effect theory and the complementarity theory.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2491-2508
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• 2019

This research investigates the media consumers' behavior with behavioral economics perspective, especially regarding TV content viewers' behavior; how do online communications influence TV viewers' decision when choosing a new TV content among options. We focus on quantity and attribute of comments or reactions on the online news articles. We analyze that online communications data, which were generated before the first broadcast, affect the TV content consumers' choice for a new TV series. Here we identify a predicted utility, experienced utility and distinction bias in TV media consumption to find the effectiveness of the first viewing choice on whole TV series' episodes. To avoid the crucial influence by exogenous factors, such as season and social issue, the test was done with specific conditions. This research found that the total number of reactions to the comments by itself positively affects the audiences' decision-making behavior for a new TV content choice. This influence was regardless of favor/ non-flavor reactions. This study contributes to the literature on media economics and management by exploring the media content users' consuming behavior and making a first step for finding an important influencer on the media content consumption.

• Journal of Broadcast Engineering
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• v.9 no.4 s.25
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• pp.322-333
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• 2004

In this paper, a package, that is a new type of contents providing new consumer experience under digital broadcasting environments. is introduced. To present various advantages of package that is in standardization process of TV-Anytime Phase-2, a service scenario for personalized educational content is proposed. Then, TV-Anytime Packaging technology to support the scenario is described. It is also shown that the personalized service that provides interactive and personalized consuming experience independent of the types of content and delivery channels is feasible by using TV-Anytime Packaging technology.

• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.1013-1023
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• 2019

In content consumption environment with various live TV channels, VoD contents and web contents, recommendation service is now a necessity, not an option. Currently, various kinds of recommendation services are provided in the OTT service or the IPTV service, such as recommending popular contents or recommending related contents which similar to the content watched by the user. However, in the case of a content viewing environment through TV or IPTV which shares one TV and a TV set-top box, it is difficult to recommend proper content to a specific user because one or more usage histories are accumulated in one subscription information. To solve this problem, this paper interprets the concept of family as {user, time}, extends the existing recommendation relationship defined as {user, content} to {user, time, content} and proposes a method based on deep learning algorithm. Through the proposed method, we evaluate the recommendation performance qualitatively and quantitatively, and verify that our proposed model is improved in recommendation accuracy compared with the conventional method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.17-22
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• 2018

This study suggests that 'Will not we use more smartphones while watching TV commercials? Then, will the TV advertising effect decrease due to the distributed concentration?". As a result of the preliminary study, it was confirmed that about 63% of users watching TV commercials use smartphones together. In this study, we propose the possibility of a new mobile advertising service by experimenting and analyzing the effect of high frequency technology based TV advertising linked mobile advertising service. Experimental results show that the response rate of the same content is improved about 9 times as compared with that of the general mobile advertisement when the advertisement of the same content is provided by the TV advertisement interlocking type. It can be confirmed that it is quite effective to provide the same content advertisement to the customers who are in front of the TV at the time of sending the TV advertisement. Therefore, it is expected that various services based on high frequency technology will be activated as a new advertising service that will preserve the effect of TV commercials in the future.

• Journal of the Korean Home Economics Association
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• v.44 no.8
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• pp.63-78
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• 2006

The nation's birthrate has been rapidly falling. The purpose of this study was to explore the factors related to low birthrate, by analyzing TV dramas dealing with childbirth and rearing. Content analysis is well suited to research probing widespread cultural notions or behavior. If any part or all of the dramas discussed an aspect of childbirth and rearing, we recorded verbatim quotes and paraphrased some specific points. Using the technique of multiple observers, inter rater as well as intra rater reliabilities were measured. The results showed that emergent themes in TV dramas on low birthrate are social environment, family context, and value changes. The conclusions and implications of these findings are discussed.

• Journal of Broadcast Engineering
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• v.11 no.3 s.32
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• pp.284-301
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• 2006

In this paper, we present a design and implementation of a TV-Anytime metadata authoring tool for providing personalized data-broadcasting services. The TV-Anytime specifies metadata schema, metadata coding and delivery, and provides service models to provide personalized broadcasting content services at anytime when users want to consume using metadata including ECG (Electronic Content Guide) and content descriptive information in a PDR (Personal Digital Recorder)-centric environment. In spite of a useful services based on TV-anytime metadata, the metadata authoring still remains as a harassing and time consuming task. For easy metadata authoring, the proposed metadata authoring provides the following key functionalities: metadata visualization, media access, and semi-automatic method for editing segment related metadata.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.576-580
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• 2004

In this paper, we present a design and implementation of a TV-Anytime compliant STB to provide personalized content consumption according to user preferences and various terminal/network conditions. This paper mainly details with a metadata engine which consists of meta data de-multiplexing, metadata decoding, and metadata-based content browsing. For personalized content consumption, the proposed metadata engine provides the following key functionalities: advanced EPG, non-linear segment navigation wirh Tables-of-Content and/or event-based summary, automatic recommendation of user-preferred programs, and etc. The implemented STB employing the metadata engine is successfully tested with a set of service scenarios in an end-to-end broadcasting test-bed.