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dierent behaviors, inferring and predicting subsequent behavior and experience, evaluating a new
system or search interface feature with users), researchers have to decide the most appropriate
statistics and models (e.g., parametric and nonparametric correlation analysis, linear and nonlinear
regression models, machine learning techniques) in order to fully exploit the potential of the data
collected via user studies and properly answer research questions with relevant empirical evidences.
More detailed discussions regarding the connections between research focus, core components of
study procedures, and data analyses will be presented in Chapter 5.
4.1.6 EXAMPLE OF FACETED ANNOTATION
e previous subsections explain the main facets respectively using recently published, the-state-
of-the-art IIR user studies as examples. To further illustrate our faceted framework, this subsection
presents a representative example of user studies (Bron et al. 2013), and shows how dierent facets,
dimensions, and factors of this study are annotated within our framework. Two more examples
about other types of IIR user studies are presented in the Appendix.
User Study Example: Bron et al. (2013)
Research Focus and Variables
[Research Focus] IIR evaluation: evaluating interface feature; [Keywords (directly ex-
tracted from the paper)] search interface preferences, search behavior aggregated search,
multi-session search tasks; [Independent Variable] interface (tabbed or blended), task;
[Dependent Variable] mouse hover, search moves (paginate, bookmark, lter, change tab,
querying, view documents, bookmark delete, unique queries);
Participant
[Recruitment] longitudinal study: recruiting students from a course (for suitable work
task); controlled lab study: 42 students recruited on campus; [Controlled lab] Yes; [Field/
Large-scale] Yes; [Sample Size] longitudinal study: 25 participants; lab study: 42 partic-
ipants (2 ltered); [Gender Composition] longitudinal study: 12 males and 13 females.
lab study: 12 males, 30 females. [Participant Occupation] student; [Age] longitudinal
study: median = 23; lab study: median = 19; [Education Background/Level] longitudinal
study: postgraduate level in the area of media studies; lab study: undergraduate students;
[Participants’ Native Language(s)] no information; [Language Used in Study] English;
[Regular Incentives] longitudinal study: availability of unique sources. Lab study: no
information. [Extra Incentives/Bonus] no information; [Length of Study] longitudinal
study: 4 weeks; lab study: 1.5 h.
4.1 STRUCTURE OF THE FACETED FRAMEWORK