• The Journal of the Korea Contents Association
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• v.8 no.6
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• pp.140-150
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• 2008

This study examines the economic ripple effect of Korean wave(Hallyu). Specifically, this study tries to investigate how the satisfaction of Korean popular music among Chinese college students affects the purchase intention for Korean culture products such as Korea tour, the Korean language, and Korean martial art(Taekwondo). These products are not directly related to the Korean popular music. Results show that the overall satisfaction of Korean popular music leads to the preference for Korean popular music, which in turn improves the liking of Korean wave(Hallyu), the liking of Korea, and the purchase intention for Korean culture products. It is also found that the liking of Korean wave(Hallyu) affects the purchase intention for Korean culture products, which is mediated by the liking of Korea. However, the positive relationship between the liking of Korea and the purchase intention for Korean culture products is shown marginally significant.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.239-248
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• 2019

The purpose of this study was to examine the use of music for job stress of employees in highway service areas and differences in use of music. For this, a survey was conducted on 150 respondents of U city and G province. The questionnaires were composed of a total of 53 questions, including use of music 25, job stress 24, and demographic characteristics 4 questions. A total of 150 questionnaires were distributed and 134 were analyzed. As a result, first, the respondents preferred listening to music over playing instruments or singing and mostly listened to popular music at home alone. Second, they reported that their purpose of use of music was for mood change followed by comfort, joy, sense of vigor, and sense of relief. Third, there were significant differences in mood of music and degree of achieving sense of relief through music. This study could provide information for organizing effective convergence music programs which could meet the needs and demands of them.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.75-78
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• 2018

Recently, the amount of music that can be heard is increasing exponentially due to the growth of the digital music market. Because of this, online music service users have had difficulty choosing their favorite music and have wasted a lot of time. In this paper, we propose a recommendation technique to minimize the difficulty of selection and to reduce wasted time. The proposed technique uses an item - based collaborative filtering algorithm that can recommend items without using personal information. For more accurate recommendation, the user's preference is predicted by using the metadata of the music source and the top-N music with high preference is finally recommended. Experimental results show that the proposed method improves the performance of the proposed method better than it does when the metadata is not used.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1565-1574
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• 2010

While we are driving a car, we are able to listen to musics by two ways: by selecting (manipulating) what we want and by just playing as they are given (in CD). These methods make a driver tired while he is driving or it means that a music which is provided is not concerned with a driver's preference. To improve these problems, there have been many studies about the automatic music providing systems based on driver's emotion. However, these studies have some difficult problems: the first one is that it is not easy to determine driver's emotion, and the other one is that it is hard to recommend and play the suitable music corresponding to the determined user's emotion. In this paper, to overcome the second problem mentioned above, a new mapping method between driver's emotion and music genre for automatic music providing system on vehicle is presented and two experiments are examined for the validation of the proposed method. The experimental results and discussions are explored to show the effectiveness and validity of the proposed method.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.271-276
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• 2007

모바일 기기는 기존의 음성통화와 다양한 네트워크 접속과 기능들이 결합되어 발전하고 있다. 또한 최근 등장한 다양한 휴대 인터넷 환경은 기존 모바일 기기의 네트워크 접근을 보다 쉽게 해주고 있다. 이러한 무선 환경을 사용하는 모바일 기기 사용자는 기존의 유선 환경보다 사용자 프로파일 정보를 쉽게 구할 수 있는 장점이 있으며, 모바일 기기는 혼자 사용하는 특징을 가지고 있다. 본 논문에서는 모바일 기기 사용자를 위한 개인화 방법으로 협업 필터링 방법을 통한 음악 추천과 푸쉬(Push), 풀(Pull)방식의 서비스 방법을 제안한다. 모바일 기기 사용자 프로파일 정보는 협업 필터링 방법을 통한 사용자 선호 음악 추천을 수행하고, 추천된 사용자 선호 음악은 푸쉬 서비스로 모바일 기기에 다운로드 된다. 추천을 통한 모바일 음악 푸쉬 서비스는 모바일 기기 사용자로 하여금 네트워크 환경에 접속되어있을 때 사용자 취향에 맞는 음악을 능동적으로 다운로드 해 둠으로써 사용자가 음악을 선택하여 모바일 기기로 다운로드 하는 불편함과 시간을 줄여 줄 수 있다.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.924-934
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• 2014

In the last 10 years the digital music contents market has grown rapidly. However digital music contents product and services are not managed with product planning and price policy considered customer attitude and digital music contents values. This study is to define the value properties of digital music contents services based on streaming and download as genre, price, sound quality, and usage appliance, and suggest the strategic market price and service composition of digital music contents service by customer attitudes about the value properties. The research used the conjoint analysis methodology based on the hedonic price model and collected 405 questionaries by users of Korean digital music contents services to the analysis. Hence 'sound quality' in download platform, and 'appliance' in streaming platform were the elements to evaluate the customer attitude. The results present the music contents productions and companies have to provide the differentiated services and price by the value properties of user preference in the market.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.47-50
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• 2009

본 연구는 예술심리치료 및 심상유도의 접근을 통해 영상치료로서의 시각적, 청각적 표현 범위와 치료요소를 찾는데 목적을 두고 있다. 현재 인간의 사회 활동 중에 생기는 정신적 육체적 스트레스를 예방 및 해소하기 위해 이루어지는 치료 활동 중 영상을 이용한 심리치료의 노력이 다방면으로 행해지고 있다. 치료의 형태는 주로 예술심리치료에 속하는 이미지와 기능음악, 클래식 등을 결합한 영상과 음향의 복합적 활용 방식이 주를 이루고 있다. 그러나 이는 치료적 요소에 초점을 두고 체계적인 제작이 되지 앉아 심리치료의 한계를 드러내고 있다. 따라서 본 연구에서는 먼저 기존의 병원, 테라피 공간 및 공공장소에서 일반인을 대상으로 행해지고 있는 영상심리치료의 현황을 파악하고, 행해지는 치료 형태 분류를 통해 색채.미술심리치료에서 사용되어지는 이미지 활용과 음악치료 기법 중 GIM(Guided Imagery and music: 음악과 심상유도) 활용을 중심으로 일반인을 대상으로 하여 실험연구를 진행하였다. 실험 대상물은 영상이미지와 음향의 두 가지 자극이 복합되어 혹은 단일의 자극으로 주어지는 경우를 구분하여 정서적 반응을 조사하고, 전반적인 치료영상에 대한 선호도 조사를 통해 긍정적 정서를 불러일으키는 이미지 및 음향 요소를 도출한다. 이는 향후 영상심리치료의 체계적인 가이드라인 제작과 평가 척도 개발을 위한 기초 자료로 활용할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.374-380
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• 2021

Band Wittgenstein is a relatively band-shaped team since Shin Hae-Chul's previous big band "Next." The album, which features Shin Hae-Chul's unique lyrics and specific concepts, is also similar to the Next albums. However, there is a difference in sounds used on the album that are properly fused sampling based work and computer music. This album is a low-budget home recording album produced at a total cost of 3 million won. Shin Hae-Chul was in charge of the main vocals and programming, and all of the works were done together by the band members. In this album, Shin Hae-Chul focused on teamwork rather than producing his own music. The low budget could have been a constraint on music production, but it must be highly appreciated for it being a novel attempt. Musicians who create music always create conflicts between their favorite music and popular ones. However, without creative efforts, there is no evolution or development in the music industry. It is clear that constant changes can continue to develop musical ability, which leads to the development of Korean pop music.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.133-140
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• 2012

In this paper, we propose a music recommendation method considering users' tags by collaborative tagging in a social music site. Since collaborative tagging allows a user to add keywords chosen by himself to web resources, it provides users' preference about the web resources concretely. In particular, emotional tags which represent human's emotion contain users' musical preference more directly than factual tags which represent facts such as musical genre and artists. Therefore, to classify the tags into the emotional tags and the factual tags and to assign weighted values to the emotional tags, a tag ontology called UniTag is developed. After preprocessing the tags, the weighted tags are used to create user profiles, and the music recommendation algorithm is executed based on the profiles. To evaluate the proposed method, a conventional playcount-based recommendation, an unweighted tag-based recommendation, and an weighted tag-based recommendation are executed. Our experimental results show that the weighted tag-based recommendation outperforms other two approaches in terms of precision.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4100-4104
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• 2014

The transition of the media of the Pop Music industry can be revealed by the transition of the usage pattern of Pop music consumers and the effects of mass media like TV on music consumers' preferences. This study analyzed the usage pattern and tendency, which evolves from ownership to consumption comparing the AIDMA with the AISAS model.