Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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A User Study on Information Searching Behaviors for Designing User-centered Query Interface of Content-Based Music Information Retrieval System

내용기반 음악정보 검색시스템을 위한 이용자 중심의 질의 인터페이스 설계에 관한 연구

  • Lee, Yoon-Joo (Department of Library and Information Science, Yonsei University) ;
  • Moon, Sung-Been (Department of Library and Information Science, Yonsei University)
  • Published : 2006.06.01
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Abstract

The purpose of this study is to observe and analyze information searching behaviors of various user groups in different access modes for designing user-centered query interface of content-based Music Information Retrieval System(MIRS). Two expert groups and two non-expert groups were recruited for this research. The data gathering techniques employed in this study were in-depth interviewing, participant observation, searching task experiments, think-aloud protocols, and post-search surveys. Expert users, especially majoring in music theory, preferred to input exact notes one by one using the devices such as keyboard and musical score. On the other hand, non-expert users preferred to input melodic contours by humming.

본 연구에서는 기존의 시스템 중심의 방식에서 벗어나 각 이용자 집단에게 효율적이고 만족스러운 내용기반 음악 정보검색(Music Information Retrieval : MIR)의 질의인터페이스를 설계하고자 각 집단의 음악정보탐색행위를 연구하였다. 연구대상 집단은 음악분야의 전문 지식 여부에 따라 2개의 전공자 집단(작곡전공, 성악/기악전공)과 2개의 비전문가 집단(아마추어 비전문가, 순수 비전문가)으로 구분하여 모집하였다. 모집방법은 연구대상자 선정과정을 포함한 누증표집(snowball sampling) 기법과 이론적 샘플링(theoretical sampling) 기법을 이용하였고 최종적으로 전공자 집단 7명, 비전문가 집단 7명 모두 14명이 실험에 참가하였다. 탐색실험, think-aloud, 참여관찰, 탐색후 질문지법과 심층 인터뷰를 통해 얻은 자료를 분석 및 통합하여 결과를 도출하였다. 작곡 전공의 전문가 집단은 정확한 음렬로 질의를 입력할 수 있는 인터페이스(건반, 텍스트, 악보 입력)를 선호하였고, 비작곡 전공의 전문가 집단과 비전문가 집단은 허밍 질의 인터페이스를 선호하였다. 각 질의 방법의 입력오류를 최소화시키기 위한 연구가 더 필요하다.

Keywords

References

  1. Bach, Johann Sebastian. 1935. Arioso. Translated by J. W. Bleecker. New York : Iρndon : H. W. Gray Co. ;
  2. __ . 1966. Six suites : solo cello. Edited by Paul Tortelier. London : New York: Stainer & Bell ; Galaxy Music Corp
  3. __ . 1980. Brandenburg concerto no. 2 in F major. New York : Edwin F. Kalmus
  4. __ . 1982. Air on the G string. Arranged for brass quintet by Arthur Frackenpohl. Toronto : [Milwaukee, Wis.] : Brassworks Music ; Hal Leonard [distributor]
  5. Chai, W. and Verco, B. 2000. 'Using user models in music information retrieval systems.' Proceedings of the 1st Annual International Symposium on Music Information Retrieval, Plymouth,
  6. Chen, L. P. A. 2003. 'Music Retrieval and Analysis.' Proceedings of the Annual International Symposium on Music Information Retrieval (ISMIR 2003)
  7. Cunningham, J, S., Reeves, N. and Britland M. 2003. 'An ethnographic study of music information seeking: implications for the design of a music digital library.' Proceedings of the third ACM/IEEECS joint conference on Digital libraries
  8. Downie, J. S. 2003. 'Music Information Retrieval', Annual Review of Information Science and Tech nology, 37, 297-340. Information Today
  9. Kim, J. and Belkin, N. J. 2002. 'Categories of music description and search terms and phrases used by nonmusic experts.' Proceedings of the Third International Conference on Music Information Retrieval, Paris, France
  10. Lee, J, and Downie J. S. 2004. 'Survey of music information needs. uses and seeking behaviour : Preliminary findings.' Proceedings of 5th International Conference on Music Information Retrieval, Barcelona, Spain, October 10-14
  11. McNab J. R., Smith A L., Bainbridge D. and Witten, H. I. 1997. 'The New Zealand Digital Library MELodyinDEX.' D-Lib Magazine,
  12. Meek, C., Birmingham, P. W. and Pardo, B. 2002. 'What is a sung query?', The Panel on Music Information Retrieval Evaluation Frameworks at ISMIR.
  13. Parsons, D. 1975.The Directory of Tunes and Musical Themes. Spencer Brown, New York
  14. Roland, P. Y. 2001. 'Adaptive usermodeling in a content-based music retrieval system.' The Proceedings of the 2nd Annual International Symposium on Music Information Retrieval,
  15. Schubert, Franz. 1923. Ave Maria. op. 52 no. 6. Original poem by Sir Walter Scott ; German translation by Adam Stork ; English adaptation by Theo. Baker. New York : G. Schirmer
  16. __ . 1927. Sonata fur Arpeggione : Ausgabe fur viola and klavier. Wien : Doblingerr
  17. __ . n.d. Trout-quintet, op. 114 [in A major, for piano, violin, viola, cello and bass or 2nd cello]. New York : International Music Co
  18. Selfridge-Field, E. 1998. Conceptual and representational issues in melodic comparison. Edited by W, Hewlett and E. Selfridge-Field. Melodic Similarity : Concepts, procedures, and applications, Computing in Musicology 11. Cambridge, MA : MIT Press
  19. Shim, J. 2002. 'A study on the musical theme clustering for searching note sequences.' Master thesis. Yonsei University
  20. Strauss, A. L. and Corbin, J. 1990. Basics of Qualitative Research : Grounded Theory Procedures and Applications. Newbury Park, CA : Sage Publications
  21. Uitdenbodgerd L. A. and Zobel, J. 1998. 'Manipulation of music for melody matching.' Proceedings of the ACM multimedia, 98
  22. Vivaldi, Antonio. n.d. Spring, op. 8 no. 1 from 'The four seasons.' New York : Edwin F. kalmus
  23. Wilson, T. D. 1999. 'Models in Information behavior Research.' Journal of Documentation, 55(3) : 249-270 https://doi.org/10.1108/EUM0000000007145
  24. Digital Music Library System of Waikato University in New Zealand (Meldex)
  25. Islands of Music
  26. MelodyHound
  27. Music Retrieval System of Standford University

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