• Title/Summary/Keyword: music satisfaction

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The Impact of Korean Wave Cultural Contents on the Purchase of Han-Sik (Korean food) and Korean Product - Based on the Survey of Asia (Japan, China), Americas and Europe - (한류 문화콘텐츠가 한식 및 한국 제품 구매에 미치는 영향 - 아시아 (중국, 일본), 미주, 유럽지역을 중심으로 -)

  • Shin, Bong-Kyu;Oh, Mi-Hyun;Shin, Tack-Su;Kim, Yoon-Sun;You, Sang-Mi;Roh, Gi-Youp;Jung, Kyoung-Wan
    • Journal of the Korean Society of Food Culture
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    • v.29 no.3
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    • pp.250-258
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    • 2014
  • This research investigated the relationship among Korean Wave Cultural Contents consumption of Korean food, Korean products, and Learning of the Korean language. The survey targeted non-Koreans who were either interested in or experienced Korean Wave Cultural Contents. Exactly 61.3% of subjects had traveled to Korea. The most common method of experiencing the Korean Wave was via the Internet (57.7%), followed by TV (21.1%) and Mobile (7.7%). The most popular Korean Wave Contents were K-pop (35.2%) and TV Dramas (31.0%). Movies were preferred in the Americas ($3.63{\pm}0.83$) and Asia ($3.63{\pm}1.09$), whereas K-pop was preferred in Asia ($3.68{\pm}1.12$) and games preferred in Europe ($2.50{\pm}1.56$). Regarding Korean food, most participants had tasted Kimchi (81.7%), followed by Bulgogi (74.6%), Bibimbap (66.9%), and Galbi (66.2%). According to the country-by-country survey, in the case of Galbi (p<0.05), Bibimbap (p<0.05), and Bulgogi (p<0.05), Asians had more experiences with Korean food compared to those from other regions. Meanwhile, in the case of satisfaction of Korean food, Bulgogi ($4.22{\pm}1.05$) was ranked highest, whereas Kimchi ($3.85{\pm}1.15$) was ranked lowest. According to the region-by-region survey, those from Oceania and other regions preferred Kimchi ($4.25{\pm}0.71$) and Bulgogi ($4.50{\pm}4.50$) while the Americas preferred Galbi ($4.82{\pm}0.39$) and Bibimbap ($4.54{\pm}0.81$). Bulgogi ($2.76{\pm}0.06$) was highly ranked as a representative Korean Food while Kimchi ($2.44{\pm}0.71$) was ranked the lowest. This research explained that among Korean Wave Cultural Contents, movies and music positively influenced on the 'Image of Korea', movies and K-pop effected 'Purchasing intention of Korean products', and TV Dramas, movies, and K-pop effected 'Purchasing intention of Korean Food'.

A Study on Standardization of a Career Preparation Behavior Scale for College Students (대학생용 진로준비행동검사의 표준화 연구: 4년제 대학생을 대상으로)

  • Seo, Hee-jung;Yun, Myung-hee
    • Journal of vocational education research
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    • v.33 no.3
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    • pp.105-125
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    • 2014
  • The purposes of this study are to develop the standardized tests of career preparation behavior of career preparation behavior for college students. For these, the 'Career Preparation Behavior Scale for College Students' which was developed in 2011 was reviewed and revised. After 609 students were involved and analyzed for the pretest, 1,244 subjects were collected by taking into account gender, grade, major, and location of colleges for developing a standardized test. The Career Preparation Behavior Scale consisted of 3 subareas and 30 items: 11 items for learning area, 12 items for counseling and information collecting area, 7 items for employment action area. The levels of reliabilities, construct validity, discriminant validity, and the concurrent validity were relatively high. Also, the suitability index of the structural model was analyzed to check the structural significance. The degree of career reparation behavior among norm groups was increased in general according to the grades. Scores of students majoring in humanities and social sciences received significantly high scores compared with those of majoring in science and technology or in art and music. But the levels of satisfaction on career preparation behavior were no difference according to gender, grade, and major. 'The Standardized Career Preparation Behavior Scale for College Students' would be used for conducting career education or programs for college students in the future.

A Study on the Descriptive Analysis for Coordination of the School's Library-Aided Instruction With the Problem-Based Learning in Korea School Libraries: Focusing on PBL Cases (PBL교과수업과 학교도서관 LAI의 연계를 위한 기술적 분석 - PBL 사례연구를 중심으로 -)

  • Jung, Jong-Kee
    • Journal of Korean Library and Information Science Society
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    • v.49 no.4
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    • pp.167-185
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    • 2018
  • The purpose of this study is to analyse the cases related with PBL and to suggest the activation plan of LAI based on the derived results. The analysis objects were the PBL cases which have been performed from 2000 to 2018 in Korean schools. The PBL cases were analysed in the aspects of school levels, target grades, subject clusters, teaching patterns, information sources, cooperative teaching status, library cooperative teaching status, and educational effects. The results were like these; 1)The PBL was applied at the elementary schools the most, the next middle schools, and high schools. 2)The teaching pattern was the exclusive teaching the most, and the next pattern was team teaching with other teacher, and the lowest pattern was with librarian teacher. 3)The subject cluster was natural science cluster the most and the next was the human & social science cluster and the art, music and physical education cluster. 4)The PBL performed with school library was low. 5)The main effects of PBL were the improvements of academic achievement, learning satisfaction degree, creative ability, problem-solving ability, and self-directed learning capability. As the results, it's proposed that it's important for librarian teachers to have the aggressive attitude for the activation of LAI as well as the cooperation with PBL subject teachers from the planning step to the evaluation.

The Online Live Broadcasting and Fandom Formation Process of the Audition-Turned-Star: Phantom Singer 3 Kang Dong-Hoon's Fan Cafe (오디션 출신 스타의 인터넷 라이브 방송과 팬덤 형성과정: 팬텀싱어3 강동훈 팬카페를 중심으로)

  • Kim, Mi-Sook
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.855-869
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    • 2021
  • Since 2009, stars produced through audition programs have appeared through the process of establishing familiar ties with viewers, unlike stars created by entertainment agencies. This study is a case study that examines the characteristics, roles, and identity of internet live broadcasts (Labang) of vocalists Kang Dong-hoon and his fan cafe(fan community) who appeared in JTBC Phantom Singer 3 in 2020. As a result of the study, fans gathered around SNS even before the fan cafe was created, at their request, 'Labang' began. "Labang" is a "freely participating talk show" in which fans actively participate. This brought about the bond of fans, a sense of belonging, and the activation of fandom. Both stars and fans recognized "Live Broadcast" as "a window of communication to get to know each other," and expressed satisfaction that they could see the sincerity of familiar and unpretentious stars, not unrealistic images reproduced on TV through "immediate comment communication." "Labang" consists of a variety of contents, including stars' daily lives, music activities, broadcast appearances, and hobbies, and is showing "aesthetic differentiation" from those who do not watch "Labang" while sharing the daily lives of stars and fans with active participation.

An Study on the Emotional Labor of Traditional Performing Artists (전통공연예술인의 감정노동에 관한 연구)

  • Lee, Saet Byul;Kang, Shin kyum
    • 지역과문화
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    • v.8 no.4
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    • pp.1-22
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    • 2021
  • This ethnographic study aimed to understand the emotional labor of traditional performing artists who hide and control their emotions in performances and the components and characteristics of their emotional labor by means of in-depth interviews with traditional performing artists and Giorgi's analysis method. As a result of the analysis, first, the factors that lead to emotional labor of traditional performing artists can be divided into external and internal ones. The external factors arose from expressing various emotions while creating or suppressing their own emotions in an effort to draw out the emotions of the audience. Also, emotional labor occurred depending on the performance place, performance type and audience reaction. The internal factors consisted of the emotional burden experienced due to concerns over mistakes and audience satisfaction as they voluntarily commit themselves to the performance in order to satisfy the audience. Second, complex emotions that remain after the performance sometimes lead to aftereffects of emotional labor. Third, factors of emotional labor that originate from belonging to an organization had an influence, which resulted in their considering job change or resignation. Fourth, emotional labor arises from the specificity of the traditional performing arts field, that is, negative perceptions and unfair internal practices of traditional performing arts. The study showed that traditional performing artists relieve their emotional labor through hobbies and chatting with colleagues, and took the emotional labor as granted, not recognizing that the occupational emotional labor as emotional labor. This study is significant in that it recognized and analyzed traditional performing artists as emotional workers and focused on the emotional labor components of traditional performing artists.

Getting Closer to Consumer Performance Experience: Research on Performance Experience Components through Online Post Analysis (소비자의 공연 경험에 다가가기 - 온라인 게시글 분석을 통한 공연 경험의 구성요소 탐구 -)

  • Ko, Yena;Lee, Joongseek;Kim, Eun-mee;Lee, Soomin
    • Korean Association of Arts Management
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    • no.52
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    • pp.75-105
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    • 2019
  • In studying culture consumption today, it is essential to understand and analyze the actual visitors' experiences in detail. This is deeply related to the fact that we can utilize subjective experience records that were previously inaccessible as data since plenty of people actually record many performance experiences in the media space such as social media. This study attempts to examine what elements actually consists of people's performance experience based on actual expression of the performance experience that exists online. For this, we collected two types of data. First, we collected posts which required performance recommendation on online platforms such as Jisik-In and Cafes to see how people describe what they want and analyzed data focusing on the modifiers. Results show that people mainly use modifiers that reflect the specific situation of the individual such as companion or age. In addition we analyzed how the experience was described after the show through the review posts of ticket booking site. Results show how expressions are centered around companions, revisit intentions, and viewing experiences besides elements such as story and music, which have been known as main satisfaction elements of performance experience in previous studies. In addition, we discussed the practical implications and limitations of the study as well as the theoretical discussion.

User Experience Analysis and Management Based on Text Mining: A Smart Speaker Case (텍스트 마이닝 기반 사용자 경험 분석 및 관리: 스마트 스피커 사례)

  • Dine Yeon;Gayeon Park;Hee-Woong Kim
    • Information Systems Review
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    • v.22 no.2
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    • pp.77-99
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    • 2020
  • Smart speaker is a device that provides an interactive voice-based service that can search and use various information and contents such as music, calendar, weather, and merchandise using artificial intelligence. Since AI technology provides more sophisticated and optimized services to users by accumulating data, early smart speaker manufacturers tried to build a platform through aggressive marketing. However, the frequency of using smart speakers is less than once a month, accounting for more than one third of the total, and user satisfaction is only 49%. Accordingly, the necessity of strengthening the user experience of smart speakers has emerged in order to acquire a large number of users and to enable continuous use. Therefore, this study analyzes the user experience of the smart speaker and proposes a method for enhancing the user experience of the smart speaker. Based on the analysis results in two stages, we propose ways to enhance the user experience of smart speakers by model. The existing research on the user experience of the smart speaker was mainly conducted by survey and interview-based research, whereas this study collected the actual review data written by the user. Also, this study interpreted the analysis result based on the smart speaker user experience dimension. There is an academic significance in interpreting the text mining results by developing the smart speaker user experience dimension. Based on the results of this study, we can suggest strategies for enhancing the user experience to smart speaker manufacturers.

Development of Web-Based Infection Prevention Education Program For Children, Parents and Teachers (어린이, 부모, 교사를 위한 웹기반 감염예방 교육프로그램 개발)

  • Kim, Dong-Hee;Park, Jung-Ha
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.3
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    • pp.430-438
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    • 2018
  • This study was conducted to develop and evaluate a web-based infection prevention education program for children, parents and teachers. Research for development of the web-based education program was completed in four phases (analysis, design, development, and evaluation) from 1 February 2015 to 5 October 2015, and the completed website was named CHILD4HEALTH (http://uwcms.pusan.ac.kr). Educational contents pertaining to infection prevention were composed of three sections, children, parents and teachers. Subjects were divided into nine categories, animation, children's dictionary, with mom, music, games, quizzes, educational contents for parents, educational contents for teachers, school newsletters, and handouts. Six characters were developed to increase interest and educational effect. Program evaluation items comprised the website, reliability, and satisfaction. Website evaluation by parents revealed that ease of use was $3.77{\pm}0.70$, entertainment value was $4.07{\pm}0.27$, childproof was $3.82{\pm}0.67$, education value was $4.02{\pm}0.75$, and design features were rated $3.65{\pm}0.53$. According to teachers, ease of use was $3.98{\pm}0.37$, entertainment value was $4.00{\pm}0.17$, childproof was $4.34{\pm}0.60$, education value was $4.00{\pm}0.20$, and design features were $3.81{\pm}0.56$. Parents scored reliability and satisfaction as $8.33{\pm}0.62$ and $7.80{\pm}0.77$, respectively, while they were scored as $8.50{\pm}0.73$ and $8.10{\pm}0.74$ by teachers. Based on the results of this study, the developed web-based education program will help prevent infectious disease and facilitate development of future education programs regarding such diseases.

Major Class Recommendation System based on Deep learning using Network Analysis (네트워크 분석을 활용한 딥러닝 기반 전공과목 추천 시스템)

  • Lee, Jae Kyu;Park, Heesung;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.27 no.3
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    • pp.95-112
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    • 2021
  • In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.

The Research on Online Game Hedonic Experience - Focusing on Moderate Effect of Perceived Complexity - (온라인 게임에서의 쾌락적 경험에 관한 연구 - 지각된 복잡성의 조절효과를 중심으로 -)

  • Lee, Jong-Ho;Jung, Yun-Hee
    • Journal of Global Scholars of Marketing Science
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    • v.18 no.2
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    • pp.147-187
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    • 2008
  • Online game researchers focus on the flow and factors influencing flow. Flow is conceptualized as an optimal experience state and useful explaining game experience in online. Many game studies focused on the customer loyalty and flow in playing online game, In showing specific game experience, however, it doesn't examine multidimensional experience process. Flow is not construct which show absorbing process, but construct which show absorbing result. Hence, Flow is not adequate to examine multidimensional experience of games. Online game is included in hedonic consumption. Hedonic consumption is a relatively new field of study in consumer research and it explores the consumption experience as a experiential view(Hirschman and Holbrook 1982). Hedonic consumption explores the consumption experience not as an information processing event but from a phenomenological of experiential view, which is a primarily subjective state. It includes various playful leisure activities, sensory pleasures, daydreams, esthetic enjoyment, and emotional responses. In online game experience, therefore, it is right to access through a experiential view of hedonic consumption. The objective of this paper was to make up for lacks in our understanding of online game experience by developing a framework for better insight into the hedonic experience of online game. We developed this framework by integrating and extending existing research in marketing, online game and hedonic responses. We then discussed several expectations for this framework. We concluded by discussing the results of this study, providing general recommendation and directions for future research. In hedonic response research, Lacher's research(1994)and Jongho lee and Yunhee Jung' research (2005;2006) has served as a fundamental starting point of our research. A common element in this extended research is the repeated identification of the four hedonic responses: sensory response, imaginal response, emotional response, analytic response. The validity of these four constructs finds in research of music(Lacher 1994) and movie(Jongho lee and Yunhee Jung' research 2005;2006). But, previous research on hedonic response didn't show that constructs of hedonic response have cause-effect relation. Also, although hedonic response enable to different by stimulus properties. effects of stimulus properties is not showed. To fill this gap, while largely based on Lacher(1994)' research and Jongho Lee and Yunhee Jung(2005, 2006)' research, we made several important adaptation with the primary goal of bringing the model into online game and compensating lacks of previous research. We maintained the same construct proposed by Lacher et al.(1994), with four constructs of hedonic response:sensory response, imaginal response, emotional response, analytical response. In this study, the sensory response is typified by some physical movement(Yingling 1962), the imaginal response is typified by images, memories, or situations that game evokes(Myers 1914), and the emotional response represents the feelings one experiences when playing game, such as pleasure, arousal, dominance, finally, the analytical response is that game player engaged in cognition seeking while playing game(Myers 1912). However, this paper has several important differences. We attempted to suggest multi-dimensional experience process in online game and cause-effect relation among hedonic responses. Also, We investigated moderate effects of perceived complexity. Previous studies about hedonic responses didn't show influences of stimulus properties. According to Berlyne's theory(1960, 1974) of aesthetic response, perceived complexity is a important construct because it effects pleasure. Pleasure in response to an object will increase with increased complexity, to an optimal level. After that, with increased complexity, pleasure begins with a linearly increasing line for complexity. Therefore, We expected this perceived complexity will influence hedonic response in game experience. We discussed the rationale for these suggested changes, the assumptions of the resulting framework, and developed some expectations based on its application in Online game context. In the first stage of methodology, questions were developed to measure the constructs. We constructed a survey measuring our theoretical constructs based on a combination of sources, including Yingling(1962), Hargreaves(1962), Lacher (1994), Jongho Lee and Yunhee Jung(2005, 2006), Mehrabian and Russell(1974), Pucely et al(1987). Based on comments received in the pretest, we made several revisions to arrive at our final survey. We investigated the proposed framework through a convenience sample, where participation in a self-report survey was solicited from various respondents having different knowledges. All respondents participated to different degrees, in these habitually practiced activities and received no compensation for their participation. Questionnaires were distributed to graduates and we used 381 completed questionnaires to analysis. The sample consisted of more men(n=225) than women(n=156). In measure, the study used multi-item scales based previous study. We analyze the data using structural equation modeling(LISREL-VIII; Joreskog and Sorbom 1993). First, we used the entire sample(n=381) to refine the measures and test their convergent and discriminant validity. The evidence from both the factor analysis and the analysis of reliability provides support that the scales exhibit internal consistency and construct validity. Second, we test the hypothesized structural model. And, we divided the sample into two different complexity group and analyze the hypothesized structural model of each group. The analysis suggest that hedonic response plays different roles from hypothesized in our study. The results indicate that hedonic response-sensory response, imaginal response, emotional response, analytical response- are related positively to respondents' level of game satisfaction. And game satisfaction is related to higher levels of game loyalty. Additionally, we found that perceived complexity is important to online game experience. Our results suggest that importance of each hedonic response different by perceived game complexity. Understanding the role of perceived complexity in hedonic response enables to have a better understanding of underlying mechanisms at game experience. If game has high complexity, analytical response become important response. So game producers or marketers have to consider more cognitive stimulus. Controversy, if game has low complexity, sensorial response respectively become important. Finally, we discussed several limitations of our study and suggested directions for future research. we concluded with a discussion of managerial implications. Our study provides managers with a basis for game strategies.

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