• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.571-579
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• 2021

This study aims to identify the relationship between ADHD trait and game addiction among high school students, and to examine the double mediating model of hardiness and emotional use of music on that relationship. Participants were 254 male and female high school students. World Health Organization ADHD Self-Report Scale, Short Form of Hardiness Questionnaire, Use of Music Inventory, and Internet Gaming Use-Elicited Symptom Screen were used for this study. PROCESS Macro 3.5 Model 6 was used to analyse a double mediating effect. Results revealed that ADHD trait was negatively correlated with hardiness of high school students, and positively correlated with emotional use of music and game addiction. And, hardiness of high school students was positively correlated with emotional use of music and negatively correlated with game addiction, whereas emotional use of music was negatively correlated with game addiction. It was found that hardiness and emotional use of music were sequentially mediating ADHD trait and game addiction among high school students. These findings suggest that hardiness and emotional use of music play some special roles in the path in which adolescents' ADHD trait affects game addiction.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.605-606
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• 2020

최근 방송 사용 음악에 대한 저작권료 배분의 투명성을 위하여 방송음악 식별 기술에 대한 관심이 커지고 있다. 음악 DNA라 부르는 음악의 신호적 특징을 이용하는 기존의 음악식별 기술이 존재하지만, 방송 배경음악의 특성으로 인해 방송 사용 음악 식별에 그대로 활용하기는 어렵다. 방송이나 영화에 사용되는 배경음악은 우리가 일상생활에서 주로 소비하는 가요나 팝과 같은 음악과 비교하여 그 수가 매우 많고, 하나의 음악 테마에 대하여 조금씩 다르게 편곡한 유사 음악들이 다수 존재한다. 즉, 방송 배경음악을 식별을 위해서는 유사한 음악이 많은 대규모 음악 DB를 대상으로 잡음이 섞여 있는 음악을 식별하여야 한다. 한편, 대부분의 음악 식별 시스템은 빠른 검색을 위하여 모든 데이터를 메모리에 올려두고 처리하는 방식으로 동작하는데, 대규모 음악 DB를 지원하기 위해서는 시스템 자원을 적게 사용하면서도 식별율이 떨어지지 않는 특징 추출 파라미터와 인덱싱 파라미터를 찾는 것이 중요하다. 본 논문에서는 이러한 요구사항을 만족하는 배경음악 특징의 추출방법과 이 특징을 효율적으로 검색할 수 있도록 하는 검색 구조를 기술한다.

• Journal of Music and Human Behavior
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• v.20 no.2
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• pp.33-60
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• 2023

This study is an analysis and review of the international research on interventions using music for the rehabilitation of patients with Parkinson's disease(PD). It categorizes 24 intervention studies conducted over the last 20 years based on the level of music usage and type of music utilized. The aim of this analysis was to identify which musical elements improved timing issues related to the initiation and cessation of movement in patients with PD. The studies involved six with music-based interventions and 18 with rhythm-based interventions, depending on the level of music usage. Rhythm, a common element in music, was a suitable factor for addressing the participants' issues. Furthermore, this review suggests that the characteristics of the researchers impact the extent to which musical elements are used and the diversity of those elements, which influences the intervention's effectiveness. Therefore, this study provides information on how to specify and systematically consider intervention efforts and the use of musical elements that can be applied in rehabilitation for patients with PD.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.297-312
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• 2014

By employing in-depth interviews with a total of 14 television producers, the study seeks to investigate how the use of documentary background music has changed in the rapidly evolving media technology. This study reveals two major findings. First, the use of traditional compositional background music in TV documentary has been decreased for the last 20 years, while library music with various sound sources has been more likely to be used due to its artistic value, its digitalized formats, and its convenience. Second, the popularity of the library music use has changed the cooperative relationship between TV documentary producers and music directors, and their views on background music. Overall, compared to the past, the new media technology (e.g., much easier, faster editing process and communication through e-mails) has helped to come up with the current trend of using more library music. This trend however implies that the dependency of library music only may lose the unique value of television documentary as a work of creative art and eventually downgrade the quality of the programs. Further practical implications are discussed.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.211-214
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• 2008

일부 음악 장르분류에 관한 기존 연구에서는 특징 추출을 위한 구간 선택 시 사람이 직접 음악의 주요 구간을 지정하는 방법을 사용하였다. 이러한 방법은 분류 성능이 좋은 반면 수작업으로 인한 부담으로 새롭게 등록되는 음악들에 대해 지속적으로 적용하기가 곤란하다. 이러한 이유로 최근 음악 장르 분류와 관련된 연구에서는 자동으로 추출구간을 선정하는 방법을 사용하고 있는데 이러한 연구의 대부분이 고정된 구간 (예, 30초 이후의 30초 구간)에서 특징을 추출하는 관계로 분류의 정확도가 떨어지는 문제점을 갖고 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 음악 전체 구간에 대하여 반복구간을 파악하고, 그 중 음악을 대표할 수 있는 단일 대표구간을 선정한 후, 대표구간으로 부터 특징을 추출하여 장르 분류 시스템에 적용하는 방법을 제안하였다. 실험 결과, 기존 고정구간을 사용한 방법에 비해 괄목할 만한 성능 향상을 얻을 수 있었다.

• Journal of Music and Human Behavior
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• v.16 no.2
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• pp.109-132
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• 2019

This study aimed to investigate the relationship between music listening and mood regulation. The effects of personality traits, music education, and sex on music use for mood regulation were also examined. Participants were 529 undergraduate students who completed the Korean Music in Mood Regulation Scale, Interpersonal Personality Item Pool (IPIP), Positive Affect and Negative Affect Schedule, and a questionnaire on their music education. Correlation analysis, multiple regression analysis, and t tests were conducted to explore the relationship among the measured variables. The results showed that music listening was related to enhancement of positive mood but not improvement of negative mood. Participants who had received extracurricular music education were more likely to use music listening as a strategy to regulate their mood than were participants without music education. Women were more likely to use music for mood regulation than were men. The multiple regression results indicate that individuals who rated themselves highly on Agreeableness and Openness to Experience on the IPIP were more likely to listen to music for mood regulation. These findings stress that music listening can be an effective strategy for mood regulation, which is critical for one's emotional well-being. It also indicates that effective music use as a mood regulation strategy varies depending on one's personal characteristics and history of music education.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.418-423
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• 2007

향수나 음악과 같은 감성적 매체는 자신의 개성을 드러내는 좋은 수단이 된다. 그러나 이들은 그것을 사용하는 사용자와 1:1로 대응하지는 못한다. 예를 들어 내가 사용하는 휴대폰 컬러링은 다른 사람도 사용할 수 있다. 그러나 '이름'이나 '생일'과 같은 개인 정보를 이용하여 음악을 만든다면 그것은 자신만의 음악이 되고, 한 개인을 표현할 수 있는 수단이 된다. 이 논문은 '이름'과 같은 개인 정보를 음악으로 만드는 방법에 대한 연구이다. 정보를 음악으로 바꾸는 매개체로는 '한글'의 문자 체계를 이용하였다. 한글은 초성, 중성, 종성의 구분이 명확하고, '천,지,인(天,地,人)'을 바탕으로 만든 모음만으로도 3가지 적용방법을 이끌어 낼 수 있기 때문에, 자모의 구분 정도만 있는 다른 문자에 비해 정보 표현력 면에서 우월하다고 볼 수 있다. 정보에서 음악으로 단순히 '변환'하기 위해서는, 한글이 갖고 있는 여러 특징을 음악에 필요한 요소로 대치시켰고, 이를 음악적으로 완성도 있게 만들기 위해서는, 변환하는 규칙을 '화성법'에 근거하여 적용하였다. 이 방법으로 사용자가 '원하는 음악'을 만들지는 못하겠지만, identity를 표현하는 수단으로는 충분한 역할을 할 수 있을 것이다.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.712-716
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• 2008

In this paper, we introduce a way to generate and control the serial music using stochastical tools. A serialism, which is one of composition techniques in the 20th century modern music, is composed using uniformly distributed notes or durations. To conserve this property, we design the optimization process to generate the random numbers which can be used to compose the serial music. The optimization are designed using chi-square test and auto-correlation test. User can also apply the additional constraint to the objective function for controlling the serial music. Using the our method, we can compose and control the traditional serial music automatically.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.733-738
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• 2008

Serial Music, introduced by A. Sch nberg, is a one of the important composition techniques. This music style has features of pantonality and atonality, so it generates unique atmosphere of modern music. In this paper, we introduce an method of generating serial music using mathematical algorithm. This method generates music that satisfy the requirement that the number of pitches belonged to each pitch class are exactly same, though the requirement is less strict than Sch nberg's definition. To do this, our method uses space-filling curves traversing the twelve tone matrix, which is constructed by the serial series, its inversion and its transpose. Using these curves, we can generate a music that has all notes in the matrix exactly once and adequate repeatness because of the curve's locality. Result music, therefore, can be more suitable for people that are not familiar with modern music, while maintaining the features of pantonality and atonality. This paper also introduces a method of generating extended serial music that uses serialism of duration and dynamic of notes, using multi-dimensional space-filling curves.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.337-342
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• 2010

The rise of music resources has led to a parallel rise in the need to manage thousands of songs on user devices. So users are tend to build play-list for manage songs. However the manual selection of songs for creating play-list is bothersome task. This paper proposes an auto play-list recommendation system considering user's context of use and preference. This system has two separate systems: mood and emotion classification system and music recommendation system. Users need to choose just one seed song for reflection their context of use and preference. The system recommends songs before the current song ends in order to fill up user play-list. User also can remove unsatisfied songs from recommended song list to adapt user preferences of the system for the next recommendation precess. The generated play-lists show well defined mood and emotion of music and provide songs that user preferences are reflected.