• Journal of Music and Human Behavior
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• v.4 no.1
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• pp.47-60
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• 2007

The purpose of this study is to examine the musical preference of autistic children. Based on the written responses of the questionnaire from mothers, therapists and teachers of 60 autistic children the music preference of the autistic children were analyzed. The results showed that the autistic children prefer music listening rather than playing or singing. The keyboard and piano are the most preferred instruments by these children. In music genre they prefer children's song and commercial music. Though they all have language disorder, they have a strong tendency toward music with text. It was also found that there is a relationship between music preference and behavior. The hyperactive and oppositional children have a tendency to enjoy more stimulative music compared to other autistic children.

• Journal of Naturopathy
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• v.12 no.1
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• pp.16-23
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• 2023

Background: There is a need for index research on music therapy activities for the elderly in Korea. Purposes: This study aims to suggest application standards in music therapy by surveying the elderly's preference for music therapy activities. Methods: A survey of music-related actions and musical instrument preferences was conducted with 91 older people in 4 nursing homes. The questionnaire consisted of information about music activities, genres of songs, types of instruments, methods of movement, and purpose of participation in activities. Results: The preference for musical activities was for playing musical instruments, followed by singing, music appreciation, flowing movements, and concert-oriented activities. Music genres appeared in the order of popular songs, folk songs, and children's songs. The instrument type preferred drums, followed by shakers and woodblocks. As a movement application method, movement using themes is preferred. Participating in music activities was leisure, followed by stress relief and emotional cultivation. Conclusion: When applying music therapy to the elderly, it predicted that the treatment effect would be high when the elderly focus on playing musical instruments and singing activities preferred by the elderly. Music genres selected from popular music and folk songs, and musical instruments are drums and shakers. Therefore, if you use it, you can expect a more significant effect.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.773-778
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• 2020

In this paper, we analyzed the effects of musical stimuli on humans in performing mathematical tasks through EEG measurements. The musical stimuli were divided into preferred music and non-preferred music, and mathematical tasks were divided into memorization task and procedure task. The data measured in the EEG experiments was divided into frequency bands of Theta, SMR, and Mid-beta because of the concentration. In our results, preferred music causes more positive emotional response than no music and non-preferred music regardless of the type of mathematical task.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.89-94
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• 2021

In this paper, we presented the results of analysis with data obtained through EEG measurements to confirm the effect of musical stimulus when performing mathematical tasks. While the subject was solving a mathematical task, favorite and unfavorite music classified according to the subject's preference were presented as musical stimulus and the tasks were divided into memorization task and procedure task. The data measured in the EEG experiments was divided into theta waves, SMR waves and mid-beta waves which are the frequency bands related to concentration to compare the relative power spectrum values. In our results, in the case of comparing no music with favorite music and no music with unfavorite music, a significant difference was observed in the several channels, and the average difference was shown in the channels F3 and F4 of the frontal lobe. In that channels, the power was found to be greater when the music was presented than the case where there was no music. Depending on the subject's preference, it was confirmed that favorite music showed greater brain activity than unfavorite music.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.2
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• pp.367-372
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• 2023

In this paper, we analyzed through the EEG signals how musical stimulus affects learning activities. Musical stimuli were divided into sedative and stimulative tendency music, preferred and non-preferred music, and the learning activity tasks were divided into mathematics tasks and memorization tasks. The signals measured in the EEG experiments were analyzed with the power spectrum of SMR waves known to be related to human concentration. Those spectra used for quantitative comparison in this paper. As a result the power of the EEG signals was observed to be greater than the case where music was given as a stimulus. Regardless of the type of task, the power of the EEG signals was observed to be greater in the case of sedative tendency than in the case of stimulative tendency, and the power of the EEG signals was observed to be greater in the case of favorite music than in the case of unfavorite music. From these results, it is estimated that if the musical stimulus exists, in the case of sedative tendency music, and in the case of favorite music, concentration can be increased than in the relative case.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.345-352
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• 2013

The demand and production for mobile music increases as the number of smart phone users increase. Thus, the standard of selection of a user's preferred music has gotten more diverse and complicated as the range of popular music has gotten wider. Research to find intelligent techniques to ingeniously recommend music on user preferences under mobile environment is actively being conducted. However, existing music recommendation systems do not consider and reflect users' preferences due to recommendations simply employing users' listening log. This paper suggests a personalized music-recommending system that well reflects users' preferences. Using AHP, it is possible to identify the musical preferences of every user. The user feedback based on the Bayesian network was applied to reflect continuous user's preference. The experiment was carried out among 12 participants (four groups with three persons for each group), resulting in a 87.5% satisfaction level.

• Journal of Music and Human Behavior
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• v.2 no.2
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• pp.1-14
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• 2005

This research was to study the behavior of listening music, music preference, meaning and role of music. The interviewees were 158 male/female students of high school in second level. This research had a interview which is composed with 7 multiple choice-questions and 1 short answer-question. In result, in the question of 'The average time of listening music', the most students(64, 41.8%) answered '1~2hours', the secondary, '2~3hours' which was 32.(20.9%) In the next question, 'The preference of music genre', 87students(56.8%) answered 'Korean pop and rock', 'American pop' was 11.1% each. Regarding 'The favorite mood of music', 50.3% of students answered 'Mellow songs, 24.8% of students answered 'Jaunty songs'. Regarding 'The social factor of listening music', more than half students(56.7%) agreed that friends or something like that may affect their music preference. Likewise, 51.6% agreed that their temper or character may affect their music preference. They answered that they enjoy the music usually when they take a rest(30.1%), when in moving(24.3%). Lastly, it said 'The meaning of music' is mostly 'Getting rid of stress and Refresh'(25.1%). And 'Calmness', 'Comfort' was 21.8%. The music especially to students means 'Emotional exit'. The music which can enable them to express their feelings is related with feeling and emotion deeply. And emotional factors like stress, depression, anxiety becomes the main reason of accepting the music meaningfully. In conclusion, This research says that they experience positive feelings and express emotions through music which enables them to understand fully their feelings and emotions.

• Journal of Music and Human Behavior
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• v.9 no.1
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• pp.1-19
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• 2012

The purpose of this research was to investigate the musical activities and musical preference according to coping strategy of university students. The survey was conducted to 200 students and the data of 168 was analysed. The results of the research are as follows. First, the number of problem-solving coping was the highest, and the number of emotional-alleviate coping was the lowest. And coping strategy between male and female student showed a significant difference. Second, music listening was the most preferred activity. There was a significant difference in the most preferred activity between male and female students, also between active and inactive coping strategy. However, the most doing activity between music major students and non-music major students showed a significant difference. In addition, there was a significant differences in the purpose of playing instruments between male and female students and among academic year. Third, Korean-pop was the most preferred genre. Result showed a significant difference in preferred musical elements between male and female students. There were genre, melody, loudness, and theme of lyric. Meanwhile, preferred musical elements between active and inactive coping strategy showed a statistical differences. There were rhythm, timbre, and medium of listening. Finally, there were statistical differences in the preferred harmony and familiarity between music major students and non-music major students.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.299-300
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• 2009

본 시스템은 개인이 가지고 있는 음악의 선호에 따라 다음 번에 재생 할 음악 목록을 구성하는 것이 목적이다. 여기서 음악의 선호는 사용자가 음악을 끝까지 들었는지 혹은 음악을 끝까지 듣지 않고 다음 곡으로 넘겼는지 여부에 따라 판단된다. 또한 이 선호에 대한 누적 평가 값에 한계치를 두고 누적 평가 값과 최근 평가 값을 합산함으로써 변화하는 사용자의 취향에 맞추어 재생 목록을 구성할 수 있다. 실험을 통해 새로운 목록을 구성 할수록 평균적인 사용자의 최근 선호도에 따라 재생 목록이 구성됨을 알 수 있었다.

• Korean Journal of Culture and Social Issue
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• v.26 no.3
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• pp.221-257
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• 2020

This study examined whether popular music lyrics, the new research topic, reflect changes in Koreans' cultural orientation and whether individuals' cultural orientation is related to the genre of popular music that they prefer. In Study 1, we content analyzed popular music lyrics from 1980 to 2018 to see if Koreans' cultural orientations changed over time. The analysis showed that as the release dates approached the 2010s, the lyrics expressed the ideal attitudes of individualist cultures more frequently than those of collectivist cultures; this suggests that Koreans have gradually become more individualistic over time. In Study 2, we examined the relationships between individuals' cultural orientations, preferences for various genres of popular music, and functions of music. The analysis showed that people with more collectivistic attitudes tended to prefer mid- and low-arousal music, such as Ballads and Rap/Hiphop, while those with less collectivistic attitudes preferred high-arousal music, such as Rock/Metal. This result is partly consistent with the hypothesis that collectivistic people would prefer lower to higher arousal music. In addition, our analysis showed the strongest positive relationship between collectivism and the social function of music; this result can be interpreted as indicating that collectivistic people use music to maintain good interpersonal relationships. This paper concludes by discussing the implications of these findings, the limitations of this study, and directions for further research.