음악 콘텐츠의 맞춤형 서비스를 위한 사용자 감성 모델링 및 측정 방법
Modelling and Measuring User Sensitivity for Customized Service of Music Contents
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In recent years, research has been tried in various ways to incorporate sensitivity (emotion, feeling) in music content service. At home and abroad in a number of commercial music services, concept of user sensitivity has been incorporated in order to make their users feel more friendly and comfortable. However, the number of emotion words applied to those services was too small to express the varied and complex emotions user wants. In addition, the number of emotional contents was not sufficient. In this paper, we proposed the music sensitivity model and evaluation method,as a key component of customized service which provides personalized content search and social recommendation features. The proposed model provides a number of emotional words, built based on a musical vocabulary freely expressed on the Web, and intuitive classification of emotional words including mood (human feeling), emotion (content feeling), situation, and property categories. The proposed evaluation method provides an intuitive user interface for users to easily express their sensitivity, what they feels after listening music contents. The experiment was performed on 20 subjects, tested for lexical classification and sensitivity evaluation tasks, and the results showed the proposed method are meaningfully close to user intuition.
Abstract
In recent years, research has been tried in various ways to incorporate sensitivity (emotion, feeling) in music content service. At home and abroad in a number of commercial music services, concept of user sensitivity has been incorporated in order to make their users feel more friendly and comfortable. However, the number of emotion words applied to those services was too small to express the varied and complex emotions user wants. In addition, the number of emotional contents was not sufficient. In this paper, we proposed the music sensitivity model and evaluation method,as a key component of customized service which provides personalized content search and social recommendation features. The proposed model provides a number of emotional words, built based on a musical vocabulary freely expressed on the Web, and intuitive classification of emotional words including mood (human feeling), emotion (content feeling), situation, and property categories. The proposed evaluation method provides an intuitive user interface for users to easily express their sensitivity, what they feels after listening music contents. The experiment was performed on 20 subjects, tested for lexical classification and sensitivity evaluation tasks, and the results showed the proposed method are meaningfully close to user intuition.
참고문헌 (36)
- Y. Reich, "A model of aesthetic judgment in design", Arti-ficial Intelligence in Engineering, 8(2), pp.141~153 (1993)
- 최문기, "게임의 음향요소가 플레이 중 사용자의 스트레스에 미치는 영향", 한국컴퓨터게임학회논문지, 21(21), pp.25~32 (2010), (사)한국컴퓨터게임학회
- 길태숙, "리듬 액션 게임을 활용한 노인 대상 음악 치료에서 우울감, 자아존중감 변화에 대한 게임 효과 분석", 한국컴퓨터게임학회논문지, 25(3), pp.93~103 (2012), (사)한국컴퓨터게임학회
- 심한뫼, "색 감성 이론을 이용한 리듬게임 디자인", 한국컴퓨터게임학회논문지, 25(1), pp.87~94 (2012), (사)한국컴퓨터게임학회[DOI]
- 이경아, "국내 감성 관련 연구 리뷰를 통한 감성 관계도 도출에 관한 연구 －1990년도 이후 논문들을 중심으로－", 한국디자인문화학회지, 17(1), pp.361~373 (2011), 한국디자인문화학회
- SooJin Park, "Category-based dimension-al model of affective words", Korean Journal of The Science of Emotion & Sensibility, 2(1), pp.77~94 (1998)
- 정현원, "감성 평가를 위한 감성의 의미 재정립과 어휘 체계에 관한 연구", 대한인간공학회지, 26(3), pp.17~25 (2007), 대한인간공학회
- 박인조, "한국어 감정단어의 목록과 정서 차원 탐색", 한국심리학회지: 사회및성격, 19(1), pp.71~100 (2005), 한국사회및성격심리학회
- MichelleS.M.Yik, "Affect among Koreans: New Scales and their Structure", 한국심리학회지:일반, 22(1), pp.115~136 (2003), 한국심리학회
- 신송이, "검색의 일관성원리와 피드백을 이용한 감성기반 음악 검색 시스템", 정보처리학회논문지. 소프트웨어 및 데이터 공학, 17(2), pp.99~106 (2010), 한국정보처리학회
- L. F. Feldman Barrett, "Independence and bipolarity in the structure of current affect", Journal of Personality and Social Psychology, 967(.74), pp.967~984 (1998)
- James A. Russell, "A Circumplex Model of Affect", Journal of Personality and Social Psychology, 39(6), pp.1161~1178 (1980)
- J. A. Russell, "Evidence of convergent validity on the dimensions of affect", Journal of Personality and Social Psychology, (36), pp.1152~1168 (1978)
- 이신영, "사용자의 정서 단어 분류에 기반한 정서 분류와 선택 방법", 감성과학, 15(1), pp.97~104 (2012), 한국감성과학회
- M. D. Korhonen., "Modeling Emotional Content of Music Using System Identification", IEEE Transactions on Systems, Man, and Cybernetics - Part B : Cybernetics, 36(3) (2006)
- L. Lu., "Automatic Mood Detection and Tracking of Music Audio Signals", IEEE Transactions on Audio, Speech, and Language Processing, 14(1) (2006)
- 이승재, "음악 서비스 및 관련 기술 동향", 전자통신동향분석, 26(2), pp.48~158 (2011)
- "멜론"[URL]
- "올레뮤직"[URL]
- "엠넷"[URL]
- "Musicovery"[URL]
- "Moodagent"[URL]
- 신동희, "인간과 컴퓨터" (2012), 휴머니타스 테크놀로지
- 박재현, "문헌 조사 를 통한 사용자 감성 모형 분석", 한인간공학회 2011추계학술대회, pp.202~205 (2011)
- 정현원, "감성의 개념 및 어휘 체계 정립을 통한 공감각 디자인 평가 방법에 관한 연구 : 실내마감재료의 시촉각 감성평가를 중심으로", 박사, 디자인학, pp.2008
- 이희승, "국어대사전,제3판" (2008), 민중서림
- 박영목, "디자인 영역에 있어서의 감성 연구 방향 에 대한 고찰", 한국디자인학회 1999 가을학술발 표회 자료집, pp.30~31 (1999)
- 정상훈, "제품 사용중 표출되는 사용자의 감성을 측정하기 위한 감성어휘 추출", 한국디자 인학회 2004 춘계학술발표대회 논문집, pp.188~189 (2004)
- 장은지, "감성어휘를 이용한 콘텐츠 추천 서비스의 연구", 석사, 문화콘텐츠학, pp.2008
- 최현석, "사용자 감성과 음원 무드기반 음악 추천 시스템", 한국방송공학회 2010 하계학술대회, pp.142~145 (2010)
- 유민준, "감성모델을 이용한 음악 탐색 인터페이스", 한국HCI학회 2009 학술대회, pp.707~710 (2009)
- R. E. Thayer, "The origin of everyday moods: Managing energy, tension, and stress" (1996), Oxford University Press
- R. J. Larsen, "Promises and problems with the circumplex model of emotio", Review of Personality and Social Psychology: Emotion, 13, pp.25~59 (1992)
- D. Watson, "Toward a consensual structure of mood", Psychological Bulletin, 98, pp.219~235 (1985)
- R. E. Thayer, "The Bio-psychology of Mood and Arousal" (1989), Oxford University Press
- "NCS"[URL]