• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.96-104
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• 2017

As new smart devices are evolved into the intelligent agent who can reflect user intention and use context, user experience design for easy and convenient usability becomes a core competitive edge. Under the assumption that human centered natural interaction is necessary for the optimal smart TV experience, this study explores the types of voice interaction which are peculiar to TV watching context. In order to build a model for the users to naturally interact with Smart TV, conversation patterns were collected by requesting key features of Smart TV to intelligent agent. Collected sentences were applied to CfA model and classified by responses to activate features. The classified conversation patterns were divided into feature activation and information search. This study has identified that CfC1 occurred when voice interaction between Smart TV and users was vague and CfC2 occurred when the requests were complex or conditional. In conclusion, Simple Request Type is the most efficient model and voice interaction is more appropriate to use to clarify users' vague requests.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.578-591
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• 2018

This study is to find out what are the factors influencing upon the convergent TV viewing experiences. Socio-demographic variables are identified as the most influential ones. Viewing modes are more influential than the media utilization factors. Comparing the detailed dimensions of TV viewing experiences, time and content selectivity are more influenced by TV viewing modes, while sociability and interactivity are more affected by socio-demographic variables relatively. This study has academic significance in that it is an exploratory empirical study on factors influencing on the TV viewing experiences.

• Journal of Advanced Navigation Technology
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• v.18 no.1
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• pp.101-106
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• 2014

Smart TV is to form a market of new industries along with the smartphone that appeared in the early 2000s. With the development of IT technology and the emergence of smart phones, user to pursue the application of high satisfaction. The smartphone has to meet the needs of the user in a variety of applications. However, Smart TV which led to a decrease in the development of a member of the application that reflect the needs of the user. Smart TV is popularized, the approach may be used instead of the application of high specification, the smart TV feel to be a smart are required to meet the needs of the user. Therefore in this paper, using the latest IT technology to provide a smart TV applications. This provides a feeling in conjunction as a system of one smart TV, smartphone, the exercise bike like to travel the distance of the actual user. For this reason to use WebOS, HTML5, Web sockets, the technology of Android.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.86-93
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• 2012

The emergence of cable TV, satellite broadcasting and IPTV provides viewers with a variety of TV programs. However, viewers' desire for watching their favorite TV program at convenient time has increased because of insufficient spare time. As an increase in smart phone market has accelerated an entry into "the age of smart network media" since 2009, mobile media suggests services connected to other digital devices. Recently, there has been growing interest in TV controling system of smart phone. Therefore, the present study aims to provide an concept of the smart phone application which recommends contents of TV program by analyzing personal watching pattern. To suggest detailed direction of the interaction and UI design, we analyzed previous research and examples of TV controlling applications and products. In addition, public opinion survey was carried out to rationalize this study and suggest suitable UI structure.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12B
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• pp.1522-1536
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• 2011

Due to the advance of broadband communication networks including the Internet, the release of diverse media, and the busy life cycle of modern people, it became difficult to watch TV programs strictly according to the program schedule. Instead, demand to download and watch the programs at any time on TV is increasing. In order to meet the demand, terrestrial DTV broadcasters developed a TV service which provides various on-demand contents by integrating terrestrial DTV network and the Internet without enforcing viewers to subscribe broadcasting services such as IPTV or CableTV, and standardized it as OHTV(Open Hybrid TV). In this paper, we explain the current status of OHTV standard and worldwide hybrid TV services and their technical standards. We also provide a strategy for the next version of OHTV standard in order to enhance the value of OHTV.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.132-141
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• 2015

Smart television(TV) is replacing the traditional television model and the importance of user experience(UX) is rising. User experience evaluates the emotion state of users such as immersion, pleasure, and interest. User experience together with usability is a principle to be considered as for designing a smart television. It contributes to improve user satisfaction and lead to the long-term purchase. User experience is more difficult to measure than usability, because UX evaluation requires to biological and psychological techniques. However, the disadvantages of these physiological and psychological techniques require high experimental costs and the restriction of experimental environment. The objective of this paper is first to review conventional methods regarding UX evaluation and suggests a new method for measuring the UX of smart TV which detects keywords related emotional representation. The text is acquired from purchase postscripts of smart TV in the Internet shopping malls. This method costs less than the questionnaire survey to detect emotion.

• 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.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.207-214
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• 2013

It was the 18th presidential election TV debate Twitter participation of SNS. Began to diverge as the era of social media, combined with SNS through in the mass media, media web 2.0. Search tweets, retweets, while the formation of policy issues, the agenda of Twitter users to listen to the statements of the candidates using the Internet or a smartphone. The highest number of tweets immediately issue statements were made. Content during the progressive tweets core keywords you do not often discussed, followed by the negative information increases the number of tweets has become a policy issue. Top retweets was to evaluate the process of debate, regardless of the issue. Tweeter complements the TV so Twitter has made public opinion. Smart phones and SNS Twitter, combined with the TV and the participation and direct democracy, voters vote one instrument was realized. Should forward approval ratings, real-time Twitter subtitles on the TV screen in TV debate Twitter influence in the election will be greatly expanded.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.249-254
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• 2013

The number of channels are increased into several hundreds of channels when coming out the digital broadcasting era. In this environment, viewers searching for programs will be very difficult to do. In addition, recent popularization of smart devices are receiving the services that they previously had not been given to. A TV program recommended a system that has been studied as a way to solve these problems. However, most studies have been studied in most web-based research results when applied to broadcast TV for TV program recommendations. In particular, the combination of the current members who watch TV are not considered. In this paper, the environment and TV viewers are considering a combination of the members of the TV program's recommended system proposal. In order to make a group deal successful, we employ the face recognition.

• Korean journal of communication and information
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• v.21
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• pp.63-86
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• 2003

Digital TV is expected to usher in a new era of TV. Thanks to digital and network technologies, TV will no more be a dumb terminal as it is today. It will incorprate the computer and thus become an intelligent device which serves not only high quality broadcast programming, but a variety of information services much like the current networked-computer. However, the real world picture of digital TV is clearly different from such a rosy vision. Albeit too early to tell, the cases in Europe and the US attest that the digital transition suffers a setback in terms of technology, policy, business, marketing, and the users. As such, the digital transition is generally problematized in terms of policy, business model, marketing strategy, and so on. Comparatively speaking, the issues of technology, policy, business and marketing are not so complicated than that of digital TV users because of the cultural issues involved in the adoption of digital TV. In other words, the technological transition to digital TV is far easier than its cultural transition. The cultural transition demands policy makers and industries of different approaches to successfully facilitating the digital transition.