• Informatization Policy
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• v.30 no.3
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• pp.92-121
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• 2023

As music streaming services (MSS) involve various interactions with users during the music consumption process, it is important to understand the user experience and manage the service accordingly. This study developed a user experience model for MSS by theoretically linking the quality characteristics considered important by music service users with the structure of user experience. PLS analysis was then performed using survey data to test the model. As a result, functionality (search, browsing, and personalized recommendation), UI usability, content quality (currentness, sufficiency, relevance), and monetary cost were found to be key experience factors that determine the experience consequence, i.e., user satisfaction. In addition, in a supplementary analysis comparing domestic and global services, differences in user experience were found between the two groups in terms of functionality and content quality. The user experience model of MSS proposed in this study serves as a new foundation for theory-based research in this field and provides meaningful implications for the competitive landscape among music streaming service platforms and for their competitive strategies.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.1-19
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• 2023

This study examines Korean users' attitudes and emotions toward Melon and Spotify, which lead the music streaming market. We used Text Mining, Semantic Network Analysis, TF-IDF, Centrality, CONCOR, and Word2Vec analysis. As a result of the study, MelOn was used in a user's daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of the streaming app. However, the MelOn users had negative emotions such as anger, repulsion, and pressure. On the contrary, in the case of Spotify, users were highly interested in the music content. In particular, interest in foreign music was high, and users were also interested in stock investment. In addition, positive emotions such as interest and pleasure were higher than MelOn users, which could be interpreted as providing attractive services to Korean users. While previous studies have mainly focused on technical or personal factors, this study focuses on consumer reactions (online reviews) according to corporate strategies, and this point is the differentiation from others.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.400-405
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• 2006

In this paper, we present effective methods for music summarization which summarize music automatically. It could be used for sample music of on-line digital music provider or some music retrieval technology. When summarizing music, we use different two methods according to music length. First method is for finding sabi or chorus part of music which can be regarded as the most important part of music and the second method is for extracting several parts which are in different structure or have different mood in the music. Our proposed music summarization system is better than conventional system when structure of target music is explicit. The proposed method could generate just one important segment of music or several segments which have different mood in the music. Thus, this scheme will be effective for summarizing music in several applications such as online music streaming service and sample music for Tcommerce.

• Journal of Digital Contents Society
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• v.15 no.3
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• pp.357-363
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• 2014

In this paper, we propose a new audio forensic marking system for protecting the copyright of the Internet-based music streaming services. In the proposed method, in order to guarantee the QoS of the streaming service, high speed, and generates a forensic mark inserted MP3 file. We make pre-marking process and generate a new forensic marked MP3 file, a combination of the pre-marked MP3 frame, the inserted user information. Experimental results show that the proposed method satisfactory results robustness and imperceptibility, and real-time properties. In addition, we were confirmed that the real-time embedding and detection from the streaming-based audio forensic marking system that has been implemented on the server/client is possible.

• Knowledge Management Research
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• v.19 no.2
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• pp.91-108
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• 2018

This study mainly focused on measuring the impact of comments for a particular song on the number of streamings and downloads. We modeled multiple regression equations to perform this analysis. We chose digital music market for the object of analysis because of its inherent characteristics, such as experience goods, high bandwagon effect, and so on. We carefully utilized text mining technique in accordance with the algorithm of Naïve Bayes classifier to distinguish whether a comment for a piece of music be regarded as positive or negative. In addition, we used 'size of agency' and 'existence of hit song' as moderating variables. The reason for usage of those variables is that those are assumed to affect users' decision for selecting particular song especially when downloading or streaming via music sites. We found empirical evidences that positive comments for a particular song increase the number of both downloads and streamings. However, positive comments may decrease the number of downloads when the size of agency of the artist is big. As a result, we were able to say that a positive comment for a particular song functioned as 'word-of-mouth' effect, inducing other users' behavioral response. We also found that other features of an artist such as size of the agency that the artist belongs to functioned as an external factor along with feature of the song itself.

• 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.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.55-60
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• 2022

Churn prediction is a critical long-term problem for many business like music, games, magazines etc. The churn probability can be used to study many aspects of a business including proactive customer marketing, sales prediction, and churn-sensitive pricing models. It is quite challenging to design machine learning model to predict the customer churn accurately due to the large volume of the time-series data and the temporal issues of the data. In this paper, a parallel artificial neural network is proposed to create a highly-accurate customer churn model on a large customer dataset. The proposed model has achieved significant improvement in the accuracy of churn prediction. The scalability and effectiveness of the proposed algorithm is also studied.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.267-278
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• 2018

The purpose of this study is to analyze how the vertical integration, which is the main characteristic of the domestic digital music market, appears in each period and how these phenomena affect the digital music market. As a result, we could find out that the domestic digital music market is a vertically integrated market centered on ISPs. There were a variety of subjects that led the digital music market from the early digital music in 2000s to the latest streaming market. However, ISP was the only subject that vertically integrated all aspects of content, distribution, and consumption through its subsidiaries and affiliated companies. A variety of combined services, supplementary services, and fare plans provided by using its platform and network have become mainstream services in the domestic digital market and have fixed the current transaction type in domestic market.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.177-183
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• 2021

Unlike the value-oriented tendency of the older generation, the MZ generation, which is emerging as a new consumer, values individual happiness and satisfaction by recognizing consumption as a kind of play, and clearly reveals its playful characteristics compared to other generations. Therefore, this study identified users' needs for interaction elements that can give a playful stimulus to the music player UI, a key function of the music streaming app, one of the universal play activities of the MZ generation. Through previous studies, the concept and characteristics of microinteraction and gamification that can be used as play elements and the relationship between play and art as well as playful characteristics of the MZ generation were summarized. In addition, the current status was identified through case analysis of the existing music app's music player UI and user interviews were conducted through contextual inquiry methods. Afterwards, I was able to identify the positive need to apply playful elements to the music player UI through analysis of user behavior patterns, and based on this, I discovered the possibility of providing an immersive music listening experience through playful interaction.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.135-146
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• 2021

In this study, in order to provide an app with improved usability to users in the trend of gradually increasing the number of users of music streaming services, usability tests were conducted by conducting interviews before and after the execution of the screen test technique and the performance measurement method and contextual. Usability test was conducted using the Inquiry method. Usability tests were conducted by one user each from their teens to their 50s, and were conducted on Melon, YouTube Music, Genie, and FLO apps with many service users. As a result of the usability test, the icon does not sufficiently represent the function and is not recognized as an interactive button, which is overlooked by the user, the problem that the user does not recognize due to lack of visual effect when the function is activated, The problem was derived. In this regard, suggestions for improving the user screen, such as intuitively changing the icon for each app, adding a visual effect of the screen when the function is activated, and adjusting the position so that the function has continuity, were presented along with the visual data.