• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.475-484
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• 2020

This monograph was probed effectively by using practical methods in a subjectivity study that was accessible in depth, departing from bygone behavior of functional quantity analysis of awareness and the opinions of young people about the general (public) model of TV advertising. The perception patterns resolved in this study sorted out four types in a Q-methodology. The result is divided as follows: 1 [(N=7): Advertising Consensus Type], 2 [(N=7): Advertising Negative Type], 3 [(N=5): Advertising Purchasing Reduction Type], and 4 [(N=1): Advertising Persuasion Orientation Type]. As such, we found very different types all over. Finally, this study reviews subjective acceptance as to the type of model reception with regard to general TV advertising, offering a developmental suggestion on the issue, and an agenda about it.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.136-144
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• 2007

1990년대 후반까지 줄곧 광고 시장 점유율 1위를 차지하던 신문광고가 2001년을 기점으로 광고 시장 점유율의 지속적인 하락세를 보이고 있다. 이는 인터넷과 같은 경쟁적인 뉴미디어가 급격히 성장하는 데 그 원인이 있을 뿐만 아니라, 신문의 광고효과를 산출하는 과학적 방법론이 부족하다는 데에도 그 원인이 있다. 이러한 문제의식에서 출발하여, 본 연구에서는 안구운동 추적(eyetracking)을 활용하여 신문광고의 노출효과를 측정했다. 이를 위하여, 기존 신문 구독자의 인구통계학적 분포에 따라 추출된 50명의 표본을 대상으로, 신문의 면내 광고별 체류시간을 헤드 마운트형 안구운동 추적기(head-mounted eyetracker)를 활용하여 측정했다. 실험 결과, 데이터의 95%가 기존의 주의-기억 단계를 따르는 순차적인 정보처리모델과 스타치 구독률 조사(starch readership reports) 결과와 안구운동 추적 결과와 일치했다. 하지만, 5%의 데이터가 주의와 기억 단계의 차이에 기인한 이월 효과(carry-out)로 순차적인 정보처리모델과 일치하지 않는 것으로 나타났다. 즉 5%가량이 광고를 보지 않았음에도 봤다고 표시했다. 또한, 기존에 스타치 구독률 조사와 같은 재인 측정 방법을 통하여 간접적으로 측정하였던 기존의 신문 광고 노출율(보통 30%)에 비하여, 직접 측정한 결과 60%에 달하는 광고 노출율을 보였다. 이는 기존의 인식과 달리, 스타치 구독률 조사가 단순 노출 정도가 아니라, 응답자의 선택적인 기억 결과를 측정한 것임을 보여준다. 이로써, 안구운동 추적을 활용한 노출효과측정은 기존에 스타치 구독률 조사에서 놓치고 있는 부분을 보완할 수 있는 기법임을 보여준다. 또한 이 기법에 의하여 도출된 노출율은 60%에 달하여 기존의 약30%로 제시된 연구결과들이 실제로 측정기법의 한계로 인하여, 기억이 가지고 있는 왜곡을 그대로 반영한 노출율에 관한 자료를 쓰는 것으로 나타났다. 본 연구에서 제안된 노출효과 측정방법론은 기존의 왜곡된 데이터를 보완하고, 신문 광고 시장의 과학적인 측정기법을 발전시키는 데 의미 있는 기여를 할 것으로 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.495-498
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• 2004

인터넷 기술의 발전과 개인용 컴퓨터 성능의 향상 그리고 모바일 폰의 일상 생활화로 우리생활의 많은 부분이 변화하고 있다. 예전에는 상상으로만 가능했던 온라인 게임, 가상 쇼핑몰, 모바일 영상과 광고 등이 핸드폰 등으로 짧은 여가 시간에 장소의 제약을 받지 않고 즐길 수 있게 되었다. 플래시는 캐릭터 다운로드 서비스가 주도해온 모바일 컨텐츠 시장의 선두 자리를 위협하고 있으며, 향후 매우 발전 할 수 있는 분야라고 할 수 있다. 플래시가 주목 받는 것은 많은 사용자들에게 접근 할 수 있는 다양한 분야가 많고, 미개척 시장으로 그 가능성이 충분하다는데 있고, 근래 들어 국내 모바일 폰이나 상업용 광고에 플래시 애니메이션이 주를 이루고 있다. 이러한 필요성에 따라서 게임, 애니메이션 관련 학과들이 수 없이 많이 생겨나고 있으나 아직 모바일 컨텐츠를 위한 게임, 애니메이션 모델이 없거나 있어도 미비한 실정이다. 본 논문은 이러한 점에 착안하여 학생들이 스스로 게임, 애니메이션 제작을 할 수 있는 모델을 설계하고 구현 하였다.

• Journal of Distribution Science
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• v.10 no.4
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• pp.47-53
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• 2012

Businesses make use of advertising strategy using models to give consumers efficient product information. Modern advertisements often make use of models for greater reminiscence to create messages and remind viewers of the product. The purpose of this study was to examine the characteristics of each type of model. The subjects were 230 college students in their twenties or older, and the material was collected from October 20, 2011 to November 5, 2011 to examine the effects of model characteristics on buying intention as well as attitude toward a brand. A questionnaire survey was used; investigators gave one copy to each interviewee. The study investigated the characteristics of each model using a questionnaire of each 40 copies with five kinds of photographs. The characteristics of models had great influence on buying intention and attitude toward the brand: First, factor 2 (being honest and virtuous and having good credit and a good press assessment) and factor 3 (being interesting and a good communicator and creating good memories) had great influence on buying intention. Factor 2 was explained by reliability, and factor 3 by the efficiency of the model in creating a feeling. Second, factors 1 (being attractive, smart, unique, friendly, loved by others, and popular), 2, and 3 influenced attitude toward brand. Factor 1 encapsulated the outgoing characteristics of a model, factor 2 was based on reliability, and factor 3 was based on the efficiency of the model in creating a feeling. The model's positive effects on buying intention and attitudes toward brand shall be examined. For their positive influence on buying intention, reliability and efficiency shall be given attention. For their positive influence on attitude toward brand, creating a good impression, having outgoing characteristics, being reliable, and efficiency shall be given attention. The findings were as follows: Model characteristics influencing buying intention were similar to those influencing attitude toward brand. The differences were as follows. First, reliability and efficiency influenced buying intention. When customers were asked to consider the influence on buying intention of an advertisement, regardless of the strength of the buying intention, they considered these two characteristics. Customers decided to buy based not only on the credibility of the product as presented in the advertisement but also the transmission of the contents of the advertisement. Second, outgoing characteristics, reliability, and efficiency influenced attitude toward a brand. The attitude toward a brand was said to be the attitude toward the business. The attitude is produced even after buying, so businesses view it as very important. The attitude might vary depending upon the model used rather than the brand. Therefore, a model with outgoing characteristics was thought to be important. Therefore, attitude toward a brand whose model influenced buying intention as well as attitude toward brand had outgoing characteristics. The result is that an image the model was related to attitude toward the brand. As such, customers would buy the goods advertised. However, an outgoing image of a model was also important to create a positive attitude toward a business brand. For instance, talent Park Gyeong-Rim's photo was used to promote cosmetics about 10 years ago. When she worked as a model of cosmetics products, she had to make compensation for losses and damages because she made a mistake on a talk show program. At that time, customers who had bought the cosmetics product asked for refunds of several billion won. As such, models who are said to be the face of the businesses they represent can play an important role. To advertise in the most attractive and effective way, the current image of a model should be investigated by examining current activities and news articles after selecting the model, and the model's efficiency and attitude toward the brand should be examined. Factors that stimulate customers' buying decisions can be used to plan advertisement that have positive influence on a brand. This study had the limitation of investigating mainly college students and there were insufficient copies of the questionnaire. The investigation was not done widely but in detail so that a concrete investigation could not be done. Further studies shall supplement these shortcomings and discuss new directions.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.299-304
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• 2012

In this study, immersion elements of game fields were classified and analysis by dividing them into the steps of design, interface and fun element, after classifying in-game-advertisement by its purpose. In-game-advertisement business model analyzed by that and the direction that develops based on user immersion elements of in-game-advertisement was studied accordingly. The advertisement access to various immersion elements could be checked in the recent in-game-advertisement by that.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.1-8
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• 2020

In recent years, due to the exponential increase in internet data, many fields such as deep learning have developed, but side effects generated as commercial advertisements, such as viral marketing, have been discovered. This not only damages the essence of the internet for sharing high-quality information, but also causes problems that increase users' search times to acquire high-quality information. In this study, we define advertisement as "a text that obscures the essence of information transmission" and we propose a model for filtering information according to that definition. The proposed model consists of advertisement filtering and advertisement filtering performance improvement and is designed to continuously improve performance. We collected data for filtering advertisements and learned document classification using KorBERT. Experiments were conducted to verify the performance of this model. For data combining five topics, accuracy and precision were 89.2% and 84.3%, respectively. High performance was confirmed, even if atypical characteristics of advertisements are considered. This approach is expected to reduce wasted time and fatigue in searching for information, because our model effectively delivers high-quality information to users through a process of determining and filtering advertisement paragraphs.

• Journal of Korea Game Society
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• v.17 no.2
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• pp.75-84
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• 2017

With the rapid growth of smartphone game in Korea, it is necessary to review the new monetization model. Especially, various contents supplied by smartphone did not find proper monetization model from business view. But smartphone game industry actively accepted market experience of arcade game industry and console, PC based package game industry, then have developed and applied various monetization models to induce billing such as monetization model and in-game advertising model, thereby forming a thick charging user group in a short time. The development and application of this monetization model is an important catalyst for the rapid growth and development of the smartphone game market. Therefore, we will examine the process of changing the monetization model of the entire game industry and the cultural characteristics of the micropayment model in Korea. To this end, we will compare the micropayment model of Japan which introduced the micropayment model and China which leads the world market.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.376-383
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• 2019

In recent decades, China's economy has grown rapidly and two-dimensional bar code-based payments services have been activated. This is a model that will be introduced by developing countries that lack mobile payment infrastructure, and countries that are looking to leap into cashless societies are also drawing attention. Along with this, the existing CRM market is expanding around the mobile device called m-CRM, and research is active on the importance of collective use for online advertising and two-dimensional bar code-based payments services. Therefore, through this study, we have explored the concepts and status of online advertising and customer relationship management which using the two-dimensional bar code-based system, and designed and implemented the method and mobile application system to effectively disseminate transactional advertising information at the point of sale or at the point of share. We also presented an application approach to look at the direction of two-dimensional bar code-based ads contents sharing system and its development.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.95-117
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• 2022

With the emergence of various media types due to the development of Internet technology, advertisers have difficulty choosing media suitable for corporate advertising strategies. There are challenging to effectively reflect consumer contextual information when advertising media is selected based on traditional marketing strategies. Thus, a recommender system is needed to analyze consumers' past data and provide advertisers with personalized media based on the information consumers needs. Since the traditional recommender system provides recommendation services based on quantitative preference information, there is difficult to reflect various contextual information. This study proposes a methodology that uses deep learning to recommend personalized media to advertisers using consumer contextual information such as consumers' media viewing time, residence area, age, and gender. This study builds a recommender system using media & consumer research data provided by the Korea Broadcasting Advertising Promotion Corporation. Additionally, we evaluate the recommendation performance compared with several benchmark models. As a result of the experiment, we confirmed that the recommendation model reflecting the consumer's contextual information showed higher accuracy than the benchmark model. We expect to contribute to helping advertisers make effective decisions when selecting customized media based on various contextual information of consumers.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.81-89
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• 2015

Recently, according to rapid technological development trend of mobile devices revolutionary transforming our lives in various fields, thereby combining the latest in communications technology. These mobile devices to celebrate the digital convergence era are now created a new business model due to mobility. The mobile business operators obtains a user's location information using the smart phone. The mobile business operators provide users with the area or building-related information for the user on. The mobile business operators provide users profiles to advertisers and product sellers. In this study, I propose the mobile business model and that there are no technical problems design a conceptual framework on mobile agents for mobile operators.