• Korean Journal of Child Studies
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• v.26 no.6
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• pp.321-334
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• 2005

This research investigated television and video viewing of young children in early childhood all-day program settings and teachers' recognition of its effects on young children through the survey of 452 early childhood teachers. The results show that television and video viewing is used as a whole group activity during transition period and/or waiting time activity for children who come earlier in the morning and remain late until closing time. It means television and video viewing at early childhood settings is mainly used as a group baby sitter or pacifier. Daily viewing time is about 44.02 minutes and early childhood teachers show low recognition of their role in children's viewing habits. Young children's viewing patterns and time are differed by teachers' variables so that young children of beginning teachers at small size settings appear more viewing time. Teachers show more negative recognition of television and video viewing on young children when they are older and have higher educational level and longer education experiences. The results also show that the more teachers have positive recognition on television and video viewing, the more young children are exposed to television and video viewing in their classes.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.431-436
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• 2015

As a number of TV programs broadcast today, researches about TV program recommender system have been studied and many researchers have been studying recommender system to produce recommendation with high accuracy. Recommender system recommends TV program to user by using metadata like genre, plot or calculating users' preferences about TV programs. In this paper, we propose a new TV program Collaborative Filtering Recommender System that exploits viewing time pattern like viewing ratio, relation with finish time and recently viewing history to calculate preference for high-quality of recommendation. To verify usefulness of our research, we also compare our method which utilizes viewing time patterns and baseline which simply recommends TV program of user's most frequently watched channel. Through this experiments, we show that our method very effectively works and recommendation performance increases.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.153-167
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• 2015

This paper empirically analyzes specific characteristics of VOD users and their practical viewing patterns, using socio-demographic data of the current IPTV subscribers in combination with actual data of genre usage and payment. The findings revealed active viewing patterns of male, the unemployed, high earners and early adopters. In terms of preferences, households with large numbers of women prefer time shift contents, whereas households composed of more men or preschoolers prefer non-time shift contents. Likewise, the households that have more women or higher income had relatively a lot of experiences of purchasing time shift contents on one hand, but the households characterized by the larger numbers of family members or unemployed householder or young householder showed much willingness to pay premium contents on the other hand. Given the utilization of correct database, the findings offer useful information conducive to service promotion and marketing strategies to maximize VOD use in the practical dimension.

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.95-103
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• 2008

Hana TV and Mega TV have been growing rapidly with IP-VOD service. The number of subscribers of both of them were 1.4 million in April 2008. Additionally, the change of viewing patterns of IPTV subscribers was predicted. Therefore, the purpose of this paper is to see how the subscribers use IP-VOD service practically. For this research, the frequency, the time and the duration of connection by genre have been analyzed on the March of 2007 and 2008. According to the result, there was a significant change quantitatively: within a year, not only the number of subscribers has doubled, but also the frequency of monthly connection has been increased 15 times. In addition, the duration of viewing per person has quadrupled. Regarding to the contents, the subscribers still prefer to watch free TV programs. However, the viewers have their own way of consuming TV programs. It has been proved that IPTV is a complementary media of free TV with a strong possibility to change the viewing patterns in the near future.

• Korean Institute of Interior Design Journal
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• v.17 no.4
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• pp.84-91
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• 2008

The objective of this study is to investigate how visitors' behavior change in relation to the pattern of exhibition in art museum. For the purpose Busan Museum of Modern Art was selected as the sample in this study. And two patterns of exhibition, namely the planar exhibition and the three dimensional exhibition, were surveyed using the tracking movement method. The data gathered from random-sampling 60 visitors in a art museum was analyzed by the correlation analysis and T-test. The results are as follows; 1) There is no meaningful difference in visitors' behavior by the exhibition pattern in terms of their viewing area, viewing time, viewing distance, viewing velocity, viewing rate. 2) In contrast, there is meaningful difference in terms of the number of stops by visitors and the time spent without movement to see the objects; visitors stopped more often and stayed longer within the three dimensional exhibition space than the planar exhibition in a art museum. In sum, visitors extrinsically show no big behavioral difference between the planar exhibition and the three dimensional exhibition, but much difference in the way they communicate with objects; they show more active behavior within the three dimensional exhibition space.

• Proceedings of the Korean Institute of Interior Design Conference
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• 1999.04a
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• pp.3-6
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• 1999

The purpose of this study is to analyze the characteristics of exhibition circulation through the movement pattern. It looks into the factoers under the influence with the visitor's movement. The method of analysis of investigation by following after visitors. The viewing behavioral of exhibition based on the time, speed, proportion of appreciation is classfied into three types of the profound, the general, the passing viewers. The characteristics of the viewing form of these patterns largely depend on the space elements which are the structure form. And particularly the position of exit, the width of exhibition space and the connection of exhibition space stand out the disparity of the factor of the spatial structure These three patterns bring about a lot of encounter in the exhibition space according to the difference of these routes consequently. So appropriate to the each pattern can offer visitors to more effective environment of exhibition.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.121-132
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• 2015

This study suggests a design for an analytical software program and method for multitasking e-sports viewing through the web using an eye tracking device. To fulfill this task, we designed a Window of Interest (WOI) to measure and record visually on a screen wherever numerous multitasking activities occur. In addition, we developed an OBS (Opensource Broadcaster Software) plug-in that records and streams participant viewing behavior patterns in real time. The purpose of this study is as follows. First, unlike existing tools that limit web interface recording to still images, the developed tool can record dynamically via media such as videos. Second, when several windows are processed on a screen, the tool can accurately record the gaze positions of the participants. Lastly, the tool can enhance the objective validity of the data as it can be implemented in natural situations. Therefore, this study can trace natural viewing patterns and behavior as we do not create artificial experimental environments and stimuli.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.33-49
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• 2018

The impact of TV Drama success on TV Rating and the channel promotion effectiveness is very high. The cultural and business impact has been also demonstrated through the Korean Wave. Therefore, the early prediction of the blockbuster success of TV Drama is very important from the strategic perspective of the media industry. Previous studies have tried to predict the audience ratings and success of drama based on various methods. However, most of the studies have made simple predictions using intuitive methods such as the main actor and time zone. These studies have limitations in predicting. In this study, we propose a model for predicting the popularity of drama by analyzing the customer's viewing pattern based on various theories. This is not only a theoretical contribution but also has a contribution from the practical point of view that can be used in actual broadcasting companies. In this study, we collected data of 280 TV mini-series dramas, broadcasted over the terrestrial channels for 10 years from 2003 to 2012. From the data, we selected the most highly ranked and the least highly ranked 45 TV drama and analyzed the viewing patterns of them by 11-step. The various assumptions and conditions for modeling are based on existing studies, or by the opinions of actual broadcasters and by data mining techniques. Then, we developed a prediction model by measuring the viewing-time distance (difference) using Euclidean and Correlation method, which is termed in our study similarity (the sum of distance). Through the similarity measure, we predicted the success of dramas from the viewer's initial viewing-time pattern distribution using 1~5 episodes. In order to confirm that the model is shaken according to the measurement method, various distance measurement methods were applied and the model was checked for its dryness. And when the model was established, we could make a more predictive model using a grid search. Furthermore, we classified the viewers who had watched TV drama more than 70% of the total airtime as the "passionate viewer" when a new drama is broadcasted. Then we compared the drama's passionate viewer percentage the most highly ranked and the least highly ranked dramas. So that we can determine the possibility of blockbuster TV mini-series. We find that the initial viewing-time pattern is the key factor for the prediction of blockbuster dramas. From our model, block-buster dramas were correctly classified with the 75.47% accuracy with the initial viewing-time pattern analysis. This paper shows high prediction rate while suggesting audience rating method different from existing ones. Currently, broadcasters rely heavily on some famous actors called so-called star systems, so they are in more severe competition than ever due to rising production costs of broadcasting programs, long-term recession, aggressive investment in comprehensive programming channels and large corporations. Everyone is in a financially difficult situation. The basic revenue model of these broadcasters is advertising, and the execution of advertising is based on audience rating as a basic index. In the drama, there is uncertainty in the drama market that it is difficult to forecast the demand due to the nature of the commodity, while the drama market has a high financial contribution in the success of various contents of the broadcasting company. Therefore, to minimize the risk of failure. Thus, by analyzing the distribution of the first-time viewing time, it can be a practical help to establish a response strategy (organization/ marketing/story change, etc.) of the related company. Also, in this paper, we found that the behavior of the audience is crucial to the success of the program. In this paper, we define TV viewing as a measure of how enthusiastically watching TV is watched. We can predict the success of the program successfully by calculating the loyalty of the customer with the hot blood. This way of calculating loyalty can also be used to calculate loyalty to various platforms. It can also be used for marketing programs such as highlights, script previews, making movies, characters, games, and other marketing projects.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.281-283
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• 2021

The representative companies mentioned in the recommendation service in the domestic OTT(Over-the-top media service) market are YouTube and Netflix. YouTube, through various methods, started personalized recommendations in earnest by introducing an algorithm to machine learning that records and uses users' viewing time from 2016. Netflix categorizes users by collecting information such as the user's selected video, viewing time zone, and video viewing device, and groups people with similar viewing patterns into the same group. It records and uses the information collected from the user and the tag information attached to the video. In this paper, we propose a method to improve video media recommendation by automatically generating metadata of video media that was written by hand.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.931-938
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• 2018

D-CATV VOD service provides various contents such as drama and movie with high quality regardless of time and place. As the usage time of the VOD service increases, the viewing time of real-time terrestrial broadcasting is shortened. As the demand for VOD service is high and the number of digital users is increasing, the VOD market is rapidly growing. Therefore this study investigates the age and gender analysis of digital cable TV users and analyzed the usage patterns and audience cases of users. VOD service has been shown to be used by many users for the first time through remote control and free coupons. Non-users of VOD service did not use it because of charge and did not feel the necessity, but some non-users did not recognize the free VOD service.