• Title/Summary/Keyword: emotional music

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Western Music as an Abstract Art Form (추상 예술로서의 서양 음악)

  • 윤중선;황성호;주동욱;하영명
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.450-455
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    • 1996
  • Emotional intelligence is investigated in terms of a composing machine as a modern abstract art form. Music has the longest tradition of being an art form which has an explicit formal foundation. Formal aspects of traditional and modern music theory are explained in terms of simple numerical relationship and illustrated with examples. The exploration of art in the view of intelligence, information and structure will restore the balanced sense of art and science which seeks happiness in life.

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Analysis of Music Rationale and Fidelity in Music Emotion Regulation Studies (국외 음악정서조율 연구의 음악 논거 및 충실도 분석)

  • Chong, Hyun Ju;Kim, Bohyun;Kim, Hyeon Joo
    • Journal of Music and Human Behavior
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    • v.21 no.1
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    • pp.89-113
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    • 2024
  • With increasing interest in the emotional responses to music, research on the regulatory mechanisms of music has been ongoing. This study examines the fidelity of music emotion regulation (MER) studies by analyzing the quality of rationales provided for using music to induce emotional regulation. A total of 45 internationally published studies were collected for review, and analysis was conducted on criteria related to the use of music, including duration, number of pieces, selection rationale, and the selecting agent. Despite the research objectives aiming to investigate the emotional regulation effects of music, it was found that the majority of studies lacked specific information about the music used, and there was weak consistency among the studies. Additionally, reliable evidence for music activities, music selection, and music implementation time was not provided, and there was a lack of logical basis for the regulatory mechanisms of music. The results of this study imply the necessity for fidelity to the rationale of music emotion regulation to establish itself as a research area. Such rigorous fidelity will contribute to increasing the replicability and integrity of research on the therapeutic uniqueness of music.

Development of Music Recommendation System based on Customer Sentiment Analysis (소비자 감성 분석 기반의 음악 추천 알고리즘 개발)

  • Lee, Seung Jun;Seo, Bong-Goon;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.24 no.4
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    • pp.197-217
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    • 2018
  • Music is one of the most creative act that can express human sentiment with sound. Also, since music invoke people's sentiment to get empathized with it easily, it can either encourage or discourage people's sentiment with music what they are listening. Thus, sentiment is the primary factor when it comes to searching or recommending music to people. Regard to the music recommendation system, there are still lack of recommendation systems that are based on customer sentiment. An algorithm's that were used in previous music recommendation systems are mostly user based, for example, user's play history and playlists etc. Based on play history or playlists between multiple users, distance between music were calculated refer to basic information such as genre, singer, beat etc. It can filter out similar music to the users as a recommendation system. However those methodology have limitations like filter bubble. For example, if user listen to rock music only, it would be hard to get hip-hop or R&B music which have similar sentiment as a recommendation. In this study, we have focused on sentiment of music itself, and finally developed methodology of defining new index for music recommendation system. Concretely, we are proposing "SWEMS" index and using this index, we also extracted "Sentiment Pattern" for each music which was used for this research. Using this "SWEMS" index and "Sentiment Pattern", we expect that it can be used for a variety of purposes not only the music recommendation system but also as an algorithm which used for buildup predicting model etc. In this study, we had to develop the music recommendation system based on emotional adjectives which people generally feel when they listening to music. For that reason, it was necessary to collect a large amount of emotional adjectives as we can. Emotional adjectives were collected via previous study which is related to them. Also more emotional adjectives has collected via social metrics and qualitative interview. Finally, we could collect 134 individual adjectives. Through several steps, the collected adjectives were selected as the final 60 adjectives. Based on the final adjectives, music survey has taken as each item to evaluated the sentiment of a song. Surveys were taken by expert panels who like to listen to music. During the survey, all survey questions were based on emotional adjectives, no other information were collected. The music which evaluated from the previous step is divided into popular and unpopular songs, and the most relevant variables were derived from the popularity of music. The derived variables were reclassified through factor analysis and assigned a weight to the adjectives which belongs to the factor. We define the extracted factors as "SWEMS" index, which describes sentiment score of music in numeric value. In this study, we attempted to apply Case Based Reasoning method to implement an algorithm. Compare to other methodology, we used Case Based Reasoning because it shows similar problem solving method as what human do. Using "SWEMS" index of each music, an algorithm will be implemented based on the Euclidean distance to recommend a song similar to the emotion value which given by the factor for each music. Also, using "SWEMS" index, we can also draw "Sentiment Pattern" for each song. In this study, we found that the song which gives a similar emotion shows similar "Sentiment Pattern" each other. Through "Sentiment Pattern", we could also suggest a new group of music, which is different from the previous format of genre. This research would help people to quantify qualitative data. Also the algorithms can be used to quantify the content itself, which would help users to search the similar content more quickly.

Interactive Music Performance Content for Infants' emotional regulation Improvement (유아의 정서조절능력 향상을 위한 인터랙티브 음악연주 콘텐츠 제안)

  • Park, Min-kyung;Choi, Ye-ji;Park, Yeong-mi;Jang, Se-jin;Park, Sui
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.141-144
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    • 2018
  • During human development, rapid emotional growth develops in infancy, and emotional regulation affects positive emotional development. Therefore, it is important for infants to learn how to control their emotions in infancy. In this study, we propose music-based media content that can improve the emotional regulation ability of infants. In other words, this study suggests a projector-based interactive content that plays various musical instruments through movement of the body following the music on the basis of the Eurhythmics education. Children were asked to perform five instruments: bass, drums, tambourines, castanets, and maracas in their physical movements using their hands, arms, and legs, so that physical activity had a positive impact on the child's emotional regulation. This music - based interactive content is expected to provide an environment that can help improve the emotional regulation by concentrating the attention of children.

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Use of music to facilitate verbal and nonverbal expression for older adults in the hospice care (호스피스 환자들의 언어적·비언어적 표현 증진을 위한음악적 활용)

  • Chong, Hyun Ju;Choi, Sung Yoon
    • Journal of Music and Human Behavior
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    • v.2 no.1
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    • pp.35-46
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    • 2005
  • Older adults in the hospice care experience difficulties in expressing their emotional and psychological issues, which has detrimental effect in their well-being. The purpose of this study is to examine how music can be used to facilitate self-expression both verbally and nonverbally in order to decrease negative influences of self-concealment. Four cases were referred from hospice personnel at the hospital, and received music therapy sessions for four month. The total number of session varied from 9 to 11 depending on the conditions of each case. Both qualitative and quantitative data were collected from pre and post test of Self-Concealment Scale and Personal Descriptive Essays. The results indicated that the use of music, especially programed songs were effective in evoking emotional responses with various life-related issues and themes. The posttest indicated that the level of self-concealment has decreased, and also the Personal Descriptive Essays involved increased statements of emotional content after music therapy implementation. The study indicates that music can be used as an significant communicative and expressive medium when working with older adults in the hospice or palliative care, since they experience many difficulties to be engaged in the active expression. Music provide both passive and active experience through listening and participating, and programed music therapy intervention will increase the quality of life through expressive music activities.

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Music Generation Algorithm based on the Color-Emotional Effect of a Painting (그림의 색채 감정 효과를 기반으로 한 음악 생성 알고리즘)

  • Choi, Hee Ju;Hwang, Jung-Hun;Ryu, Shinhye;Kim, Sangwook
    • Journal of Korea Multimedia Society
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    • v.23 no.6
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    • pp.765-771
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    • 2020
  • To enable AI(artificial intelligence) to realize visual emotions, it attempts to create music centered on color, an element that causes emotions in paintings. Traditional image-based music production studies have a limitation in playing notes that are unrelated to the picture because of the absence of musical elements. In this paper, we propose a new algorithm to set the group of music through the average color of the picture, and to produce music after adding diatonic code progression and deleting sound using median value. And the results obtained through the proposed algorithm were analyzed.

Multiple Regression-Based Music Emotion Classification Technique (다중 회귀 기반의 음악 감성 분류 기법)

  • Lee, Dong-Hyun;Park, Jung-Wook;Seo, Yeong-Seok
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.6
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    • pp.239-248
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    • 2018
  • Many new technologies are studied with the arrival of the 4th industrial revolution. In particular, emotional intelligence is one of the popular issues. Researchers are focused on emotional analysis studies for music services, based on artificial intelligence and pattern recognition. However, they do not consider how we recommend proper music according to the specific emotion of the user. This is the practical issue for music-related IoT applications. Thus, in this paper, we propose an probability-based music emotion classification technique that makes it possible to classify music with high precision based on the range of emotion, when developing music related services. For user emotion recognition, one of the popular emotional model, Russell model, is referenced. For the features of music, the average amplitude, peak-average, the number of wavelength, average wavelength, and beats per minute were extracted. Multiple regressions were derived using regression analysis based on the collected data, and probability-based emotion classification was carried out. In our 2 different experiments, the emotion matching rate shows 70.94% and 86.21% by the proposed technique, and 66.83% and 76.85% by the survey participants. From the experiment, the proposed technique generates improved results for music classification.

Effect of Atmospheric Music and Advertising Photo on Consumers' Emotional State and Approach Behavior in Fashion Store (패션점포 내 배경음악과 광고사진이 소비자의 정서 및 접근행동에 미치는 영향)

  • Ki, Hyun-Myoung;Lee, Yu-Ri
    • Journal of Global Scholars of Marketing Science
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    • v.16 no.3
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    • pp.39-60
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    • 2006
  • The purpose of this study is to investigate the effect of two different characteristics of music(tempo) and advertising photograph(type) in a fashion store on consumers' emotional responses and approach behavior and to suggest competitive in-store atmospheric strategies. To test the conceptual model, this study used a video simulation method. Researchers selected a fashion casual wear retail store for young people and videotaped to provide realistic store settings. Two different levels of background music(fast, slow) and advertising photograph(sexy, cheerful) were inserted into the video clip generating four stimuli. Including a stimulus for the control group, 5 video clips were created. A total of 289 subjects answered the questionnaire after viewing a two-minute video clips. The results are as follows: First, advertising photograph in a store had a significant effect on consumers' in-store emotional state, whereas musical tempo did not. Second, the effect of in-store consumers' emotional state on behavioral reponses were investigated. Results showed that consumers' positive emotional state lead to consumers' approach behavior. The results of this study indicated that background music and advertising photograph in a fashion store affected consumers' in-store emotional state, and ultimately these affected consumers' positive approach behavior. Thus retailer should try to create a pleasant store environment using effective store atmospheric factors like background music and advertising photograph.

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A Qualitative Inquiry on Group Music and Imagery Experiences (그룹 음악과 심상 경험에 대한 질적 사례연구)

  • Kim, Aimee Jeehae
    • Journal of Music and Human Behavior
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    • v.17 no.2
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    • pp.101-117
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    • 2020
  • This study aimed to investigate music and imagery (MI) experiences in group settings using a qualitative case study approach. For this purpose, a focus group interview was conducted with four professional music therapists, who participated in peer MI group sessions without a therapist. Data collected from the interview were analyzed by qualitative data analysis procedures. Results demonstrated that successful group music experiences in the early stages, such as sharing and selecting music together within the group or experiencing group support, leaded to developing trust towards music and the group in participants. Moreover, the trust built upon such basis was shown to facilitate expansions in emotional experiences, imageries, relational aspects, and music resources, which led to new personal insights. In addition, the participants recognized the supportive nature of the group played a role of encouraging participants to challenge new experiences during MI experiences. The results suggest that group as a therapeutic factor can promote expansive emotional experiences and insights. Furthermore, the findings may provide implications for music psychotherapy applications in group settings.

The Impact of SNS Advertising and the Musical Characteristics of SNS Advertising on Advertising Performence

  • YiJie WANG;EunJu PARK;KyoungSeop CHO
    • The Journal of Economics, Marketing and Management
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    • v.12 no.1
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    • pp.77-88
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    • 2024
  • Purpose: By studying the effects of SNS advertising characteristics and SNS advertising music characteristics conducted by companies on advertising preference and advertising effects, we would like to suggest a plan for effective SNS advertising operation. Research design, data and methodology: In this study, a total of 483 surveys were collected for college student consumers in their 20s who had experience seeing advertisements on SNS, and 458 were used for the final analysis. In addition, the collected questionnaire data were analyzed using statistical programs SPSS 24.0 and AMOS 24.0, and Sobel Test was performed through structural equation modeling and regression analysis. Results: Advertising preference, purchase, and recommendation intentions increased as consumers who saw advertisements on SNS perceived the characteristics of advertisements (information, entertainment, individuality, and interactivity). However, advertising preference was not formed by SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity). In addition, the higher the perception of SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity), the more advertising effects such as purchase and recommendation intentions were linked, and the higher the perception of SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity), the more advertising effects such as purchase and recommendation intentions could be created. Finally, it was confirmed that advertising preference had a partial mediating effect between SNS advertising characteristics and advertising effects, and between SNS advertising music characteristics and advertising effects. Conclusions: Unlike previous studies that have investigated the causal relationship of advertising effects according to sub-factors such as SNS advertising characteristics and SNS advertising music characteristics, it is significant in that it analyzes the variables used in the study as secondary factors.