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CHAPTER 3
Methodology: Paper Selection and
Coding Scheme
Compared to the traditional system-focused IR research, IIR studies often appear to be rather
complicated in that they usually involve a series of dynamic user characteristics (e.g., cognitive
variation, emotional state, behavioral pattern) and rich contextual features (e.g., task facets, see Li
and Belkin, 2008; environments of search interaction, such as home and workplace; task mode, such
as mono-tasking and multi-tasking), part of which are fairly dicult to predict or control. Mean-
while, this complexity also creates sizable room and unprecedented opportunities for IR researchers
and system designers to personalize users’ search interactions (Belkin, 2008; Teevan, Dumais, and
Horvitz, 2007, 2010). As it is discussed in previous chapters, a comprehensive, faceted framework
of user study can be of help for IIR study design, reporting, and evaluation in multiple streams of
research (i.e., understanding user behavior and experience, system/interface features evaluation,
meta-evaluation of evaluation metrics).
To obtain a deeper understanding of the state-of-the-art user study practices and develop
an up-to-date faceted evaluation framework, we followed Cooper (1989)’s approach and conducted
a systematic review on recently published IIR research literature. Cooper’s systematic review ap-
proach consists of several major steps: (1) state and clarify research problems/focuses (in this case,
identify the facets of IIR studies and develop a comprehensive framework to illustrate the role of
and, more importantly, the connections between the facets); (2) develop guidelines for collecting
literature, especially the criteria for literature inclusion and exclusion; (3) develop a comprehensive
search plan for nding literature (in our case, select the most relevant venues where high-quality
IIR research are published); (4) develop code form and coding scheme for classifying and char-
acterizing collected literature; (5) code the literature; and (6) synthesize the literature. Since step
1 is already completed in the previous chapters, in this chapter, we will explain steps 2–3 in paper
selection (Section 3.1) and discuss steps 4–6 in the coding scheme (Section 3.2).
Overall, in this study, we manually examined 462 IIR user study papers published between
2000 and 2018. Specically, we focused on the following major venues: ACM SIGIR Conference
on Research and Development in Information Retrieval (SIGIR, 2000–2018, n=109), ACM
SIGIR Conference on Human Information Interaction and Retrieval (CHIIR, 2016–2018, n=48),
ACM Conference on Human Factors in Computing Systems (CHI, 2000–2018, n=126), Journal of
the Association for Information Science and Technology (JASIST, 2010–2018, n=102), Information Pro-