Toward an understanding of the history and impact of user studies in music information retrieval

Lee, Jin Ha; Cunningham, Sally Jo
December 2013
Journal of Intelligent Information Systems;Dec2013, Vol. 41 Issue 3, p499
Academic Journal
Most Music Information Retrieval (MIR) researchers will agree that understanding users’ needs and behaviors is critical for developing a good MIR system. The number of user studies in the MIR domain has been gradually increasing since the early 2000s, reflecting this growing appreciation of the need for empirical studies of users. However, despite the growing number of user studies and the wide recognition of their importance, it is unclear how great their impact has been in the field: on how systems are developed, how evaluation tasks are created, and how MIR system developers in particular understand critical concepts such as music similarity or music mood. In this paper, we present our analysis on the growth, publication and citation patterns, topics, and design of 198 user studies. This is followed by a discussion of a number of issues/challenges in conducting MIR user studies and distributing the research results. We conclude by making recommendations to increase the visibility and impact of user studies in the field.


Related Articles

  • The Effects of Music on Mood State-Dependent Recall. Thaut, Michael H.; de I'Etoile, Shannon K. // Journal of Music Therapy;Summer1993, Vol. 30 Issue 2, p70 

    This study investigated the effects of music, when used as a mood induction procedure or background stimulus, on the ability to recall previously encoded information. Fifty subjects participated in this study by undergoing one of the following five experimental conditions: the presence of music,...

  • Seven problems that keep MIR from attracting the interest of cognition and neuroscience. Aucouturier, Jean-Julien; Bigand, Emmanuel // Journal of Intelligent Information Systems;Dec2013, Vol. 41 Issue 3, p483 

    Despite one and a half decade of research and an impressive body of knowledge on how to represent and process musical audio signals, the discipline of Music Information Retrieval still does not enjoy broad recognition outside of computer science. In music cognition and neuroscience in...

  • A abordagem social na recuperação da informação: frente e tendências de pesquisa. Souza Martins, Marcio; Alves Lima, Vânia Mara // Biblios;Sep2013, Vol. 52, p1 

    This descriptive research seeks to identify the presence of social approach in studies on information retrieval, using methods and techniques bibliometrics and scientometrics multidimensional, through citation analysis, co-authorship, co-citations and co-words applied in scientific papers and...

  • Latent Dirichlet Allocation Model for Raga Identification of Carnatic Music. Sridhar, Rajeswari; Subramanian, Manasa; Lavanya, B. M.; Malinidevi, B.; Geetha, T. V. // Journal of Computer Science;2011, Vol. 7 Issue 11, p1711 

    Problem statement: In this study the Raga of South Indian Carnatic music is determined by constructing a model. Raga is a pre-determined arrangement of notes, which is characterized by an Arohana and Avarohana, which is the ascending and descending arrangement of notes and Raga lakshana....

  • Harmonic and Percussive Separation Harmonic and Percussive Separation Based on NMF and Tonality Mask. Keunwoo Choi; Sang Bae Chon; Kyeongok Kang // ETRI Journal;Dec2012, Vol. 34 Issue 6, p958 

    In this letter, we present a new algorithm for the harmonic and percussive separation of jazz music. Using a short-time Fourier transform and nonnegative matrix factorization, the signal is decomposed into rank components. Each component is then split into harmonic and percussive parts using...

  • Automatic Heart Diseases Detection Techniques using Musical Approaches. Khorasani, Ehsan Safar; Doraisamy, Shyamala; Azman, Azreen // Journal of Applied Sciences;2011, Vol. 11 Issue 17, p3161 

    In this study, a musical approach to provide an automatic heart disease detection system is proposed. Heart sounds are recorded with audio format. Audio files are converted to semi-structured music files that can be represented textually. Samples were captured from different heart diseases and...

  • Classification accuracy is not enough: On the evaluation of music genre recognition systems. Sturm, Bob L. // Journal of Intelligent Information Systems;Dec2013, Vol. 41 Issue 3, p371 

    We argue that an evaluation of system behavior at the level of the music is required to usefully address the fundamental problems of music genre recognition (MGR), and indeed other tasks of music information retrieval, such as autotagging. A recent review of works in MGR since 1995 shows that...

  • HOW MUSIC AFFECTS YOUR MOODS. Ezarik, Melissa M. // Current Health 1;Mar2001, Vol. 24 Issue 7, p17 

    Focuses on how music affects the mood of a person.

  • How Does Music Change Your Mood? Gourley, Catherine // Writing;Jan2001, Vol. 23 Issue 4, p9 

    Discusses how music can change people's moods. Definition of active and passive listening; Analysis of personal response to different types of music.


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics