• Convergence Security Journal
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• v.10 no.4
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• pp.93-99
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• 2010

Smart TV, Internet content and interactive services are available, the operating system to mount the Web, App Store, you can enjoy a variety of content. Smart TV market, TV replacement cycle is long, watching for changes in the way copyright issues such as adaptation period and, unlike the case of a smart phone TV market in the short term are expected to occupy will not find, if IPTV, satellite, cable and real-time TV platform for broadcasters to adopt a smart, smart TV market could spread more quickly than expected. Long term, Google, Apple, TV gajeonsa and broadcasters to compete with various companies through the process of expanding the TV market is smart, the media are expected to dominate the market. Smart TV with the latest technology-related research and to investigate the Smart TV, Smart TV is designed based widgets. Widgets on the desktop, mobile, IPTV, etc. can be implemented in various environments and various features and types of users already are using the widget. In particular the advantages of the widget can be implemented to meet the needs of the users, because users to more efficiently and meet their desired widget. In this paper, propose Smart-TV-based Baby management widget.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.368-371
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• 2012

Smart TV is approaching as a new media service to integrate the broadcasting and the internet according to the technology evaluation of convergence to broadcasting, telecommunication, and computing. Therefore, This paper looks out the next generation smart TV(Smart TV 2.0) technology based on CPNT which supports those services such as the broadcasting, telecommunication, a convergence of broadcasting & communication, and computer service through multi-screen.

• Information and Communications Magazine
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• v.28 no.3
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• pp.3-7
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• 2011

본고에서는 스마트폰에 이어 최근 출시된 스마트 TV 서비스에 관한 전망을 알아본다. 먼저 스마트TV의 개념을 소개하고 구글 TV 등 현재 서비스되고 있는 스마트 TV의 특징을 분석한다. 또한, 스마트 TV의 미래와 발전 전망을 논의하고 스마트TV 산업 발전을 위해 출범된 국내 스마트TV 포럼의 현황을 알아본다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2003.11a
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• pp.87-100
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• 2003

본 연구는 마케팅 분야에서 주로 사용되는 신제품확산모델(new product diffusion model)들이 기본적인 배스 모형(Bass model)에 기반하여 개별 소비자의 이질성(heterogeneity)을 반영하지 못하고, 제품이 시장에 출시되기 이전 단계에 시장수요를 예측하지 못하는 한계를 극복하기 위한 방법론을 제시하기 위해 진행되었다. 연구에 사용된 방법론을 살펴보면, 먼저 컨조인트(Conjoint) 분석을 통해 제품의 개별 속성들에 대한 소비자의 선호 구조를 파악하고, 이를 통해 추정된 정적(static)인 소비자 효용함수를 시장 및 기술 환경의 변화에 대한 적절한 예측자료와 결합하여 동적(dynamic)인 효용함수로 전환함으로써 시간에 따른 동적(dynamic) 시장 점유율(market share)을 예측하고, 그 결과를 신제품확산모델로부터 도출된 잠재시장(market potential) 추정치와 결합함으로써 신제품의 판매량을 예측한다. 또한 본 연구에서 제시하는 모델을 한국의 30인치 이상 대형TV 시장에 대해 실증적으로 분석하였으며, CRT TV, Projection TV, LCD TV, PDP TV에 대한 시장수요를 예측하였다. 분석 결과, 소비자들은 TV 선택시 화질과 가격에 민감한 반응을 보이는 것을 알 수 있으며, 이를 바탕으로 한 시장 예측 결과, 단기적으로는 가격 경쟁력이 있는 Projection TV가 높은 시장 점유율을 보이지만, 50인치 이상 LCD TV가 상용화될 경우, LCD TV가 다른 TV들보다 상대적으로 많은 판매량을 보일 것으로 예측되었다. 또한 TV 크기에 따른 소비자들의 선택을 살펴본 결과 50∼60인치대에 비해 40인치대 크기의 TV가 많이 판매될 것으로 예상된다.

• Information and Communications Magazine
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• v.29 no.10
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• pp.9-14
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• 2012

스마트기기의 확산에 따라 TV 이용 시간, 장소, 단말이 많아지면서 TV에 대한 기능의 확장 및 고품질화에 대한 기대도 높아지고 있다. 스마트폰의 경우 많은 이용자들이 더 이상 전화의 수단이 아닌 업무, 일상생활, 여가 활용의 필수적 수단으로 자리잡아가고 있다. 스마트TV 단말의 확산은 제조사들이 스마트TV 기능을 TV 단말에 탑재하는 비율을 증가시킴으로써 TV의 교체시장을 따라 확대될 것으로 보인다. TV 구매자들 중 특히, 신기술 수용의향이 높고 TV에 대한 관여도가 높은 소비자들을 선두로 스마트TV 시장은 확대될 것으로 보인다. 스마트TV 이용자들에 대한 조사 결과, 스마트TV에 대해 이런 기대를 하고 다양한 서비스를 이용하여 전반적인 만족도는 양호하게 나타났으나, 개별 서비스에 대한 만족도, 특히 스마트TV 앱스토어 이용 등 새로운 스마트TV 기능에 대한 만족도는 낮게 나타났다. 스마트TV 서비스 시장을 활성화하기 위해서는 이용자들의 기대를 충족시킬 수 있도록 기능과 서비스 품질을 높여야 하며 기존 방송서비스 사업자들과의 전략적인 협력 관계 조성이 필요할 것이다.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1413-1422
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• 2010

With the emergence of digital TV broadcasting, various channels are provided to a TV audience. But it is getting hard for the audience to find his or her preferred TV programs due to the huge number of TV channels. In order to mitigate the difficulty, TV broadcasting companies provide an electronic program guide (EPG), which is a digital guide to scheduled broadcast TV programs. However, it results in the information overload problem and the time-consuming problem since the number of TV channels and programs is gradually on the increase. In this paper, we design and develop a channel filtering system, which recommends a small number of channels by filtering TV channels based on the watching pattern of the TV audience. The channel filtering system does not require the replacement or upgrade of existing TV or set-top box. In addition, it increases usability by skipping the channels that broadcast the audience's non-preferred TV programs while the TV audience presses the channel up/down button.

• Journal of the Korea Convergence Society
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• v.5 no.2
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• pp.1-6
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• 2014

Latest Smart TV is rapidly increasing in prevalence. Smart-TV can provide reserve-service, training-service, and game service to user. Smart-TV need standard API for user requested app to run it. In this case, the cracker can run Malicious apps or user-request contents to modify it by analysis of the vulnerability of the smart-TV platform. Therefore, we modify the extension API on Smart-TV to prevent hacking. Our proposed research method can support that device is illegal in Smart-TV device can prevent unauthorized access.

• Journal of the Korea Society of Computer and Information
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• v.18 no.1
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• pp.43-53
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• 2013

In this paper research covers a study on the need for smart TV according to smart TV 'smart' of issues, consider the changing elements of paradigm, according to the evolution of TV, from the point of view of the user experience analyze the Applications of Smart TV UX. Through analysis of user behavior from the current viewpoint of the TV and Future TV, reflected in the design of Smart TV UX. Ultimately for efficiently operating the contents, screen proposed a prototype for personalized intelligent user based on UX design. Ultimately, to satisfy the playfulness for the course of using the TV as the primary goal and content through the TV content easily to the desired goal to be reached quickly and easily at the point of how to approach the user's destination, shorten the access path is proposed in this study.

• Journal of Broadcast Engineering
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• v.17 no.2
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• pp.270-283
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• 2012

With the advent of multi-channel TV, IPTV and smart TV services, excessive amounts of TV program contents become available at users' sides, which makes it very difficult for TV viewers to easily find and consume their preferred TV programs. Therefore, the service of automatic TV recommendation is an important issue for TV users for future intelligent TV services, which allows to improve access to their preferred TV contents. In this paper, we present a recommendation model based on statistical machine learning using a collaborative filtering concept by taking in account both public and personal preferences on TV program contents. For this, users' preference on TV programs is modeled as a latent topic variable using LDA (Latent Dirichlet Allocation) which is recently applied in various application domains. To apply LDA for TV recommendation appropriately, TV viewers's interested topics is regarded as latent topics in LDA, and asymmetric Dirichlet distribution is applied on the LDA which can reveal the diversity of the TV viewers' interests on topics based on the analysis of the real TV usage history data. The experimental results show that the proposed LDA based TV recommendation method yields average 66.5% with top 5 ranked TV programs in weekly recommendation, average 77.9% precision in bimonthly recommendation with top 5 ranked TV programs for the TV usage history data of similar taste user groups.

• 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.