THE IMPACT (OR NON-IMPACT) OF USER STUDIES
IN MUSIC INFORMATION RETRIEVAL
Jin Ha Lee Sally Jo Cunningham
The Information School
University of Washington
jinhalee@uw.edu
Department of Computer Science
University of Waikato
sallyjo@waikato.ac.nz
ABSTRACT
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 in-
creasing since the early 2000s reflecting 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 large their impact has been
in the field; on how systems are developed, evaluation
tasks are created, and how we understand critical
concepts such as music similarity or music mood. In this
paper, we present our analysis on the growth, publication
and citation patterns, and design of 155 user studies. This
is followed by a discussion of a number of is-
sues/challenges in conducting MIR user studies and dis-
tributing the research results. We conclude by making
recommendations to increase the visibility and impact of
user studies in the field.
1. INTRODUCTION
Understanding users is a fundamental step in developing
successful Music Information Retrieval (MIR) systems
and services. Most MIR researchers will agree with this
idea, and furthermore, it is not uncommon to hear various
speakers at MIR related conferences specifically arguing
for the importance of user studies, academically as well as
commercially. Despite the growing number of user
studies and the wide recognition of their importance in the
MIR domain, it is unclear as to what impact these studies
have really made. Have these studies in fact changed how
MIR systems are developed or evaluation tasks are
designed? Have they really changed how we understand
critical concepts such as music similarity or music mood?
For MIR researchers specializing in user studies to move
forward in this domain, it is necessary to understand our
past: what have we been doing and what kind of impact
have we made or not? In order to lay the foundation for
this discussion, we collected 155 user studies related to
music, reviewed the content, and analyzed the publication
and citation patterns, and research design of these studies.
2. STUDY DESIGN
2.1 Definition of “User Studies”
Our first challenge was to define and set the boundaries
for “user studies.” From our analysis of relevant literature,
we found two major categories of user studies: “studies of
users” (e.g., music information needs) and “studies
involving users” (e.g., usability testing). Weigl and
Guastavino [7], in their recent review article of user
studies in MIR literature, defined user studies as
“documents report(ing) on empirical investigations of
user requirements or interactions with systems primarily
aimed at providing access to musical information,
including musical recordings, scores, lyrics, photography
and artwork, and other associated metadata (p. 335).” In
this study, we adopt a broader definition of “user studies”
as studies reporting on 1) empirical investigation of needs,
behaviors, perceptions, and opinions of humans, 2)
experiments and usability testing involving humans, 3)
analysis of user-generated data, or 4) review of the studies
above. This is because a broader definition will allow for
a comparison of these different types of user studies and
enable us to see patterns of concentration with regards to
particular types of user studies related to MIR.
2.2 Data Collection
We conducted an extensive literature search in multiple
domains related to music (e.g., MIR, Library and
Information Science (LIS), Human Computer Interaction
(HCI), Computer Science (CS), Engineering, Psychology,
Musicology) to identify these studies. We conducted
searches in multiple databases including WorldCat,
EBSCO, Web of Knowledge, IEEE Xplore, ACM DL,
InfoPsych, and Google Scholar. We used the different
combinations of the following search terms: music, user,
human, people, need, use, behavior, testing, involvement,
learning, interaction, design, accessibility, usability, user-
centered, etc. After retrieving the relevant studies, we also
followed the citations in order to broaden our search. In
total, we found 155 studies related to music users.
3. PUBLICATION PATTERNS OF USER STUDIES
3.1 Growth of the Publications
First, we analyzed several aspects related to the publica-
tion patterns of the user studies. We examined the publi-
cations dates of the user studies in order to learn more
about the growth pattern. Figure 1 shows the distribution
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© 2012 International Society for Music Information Retrieval
13th International Society for Music Information Retrieval Conference (ISMIR 2012)
391