Summary:
The study Empirical Studies of Information
Visualization: A Meta-Analysis by Chaomei Chen and Yue Yu provides a
meta-analysis on a variety of empirical studies of information visualization. The intent of the research is to conduct a meta-analysis on this topic in order to capture the theories and practices in empirical examinations of information
visualization. The analysis focuses on three areas of information visualization
including users, tasks, and tools. As a
meta-analysis, this article provides a simplified description and displays the
underlying relations in the large amount of convoluted, contradictory, and
confusing information often found in the literature.
The article
first provides an overview of the meta-analytical method and selection for studies used, then a subjective review of the studies is presented follow
by identifying the most commonly used hypothesis, independent variables, and
dependent variables, this is followed by the results of the study. The research includes experimental studies
with independent variables that comprise a relationship to one of the three contextual
variables (users, tasks, and tools). The
two types of dependent variables used are accuracy and efficiency
measures.
The study’s
results come in two parts looking at both users and tools. Each section compares the empirical findings
of individual studies and are synthesized in terms of effect sizes and significance
levels. The study found that users with
strong cognitive abilities will benefit significantly more from visual-spatial
interfaces than those with weaker cognitive abilities. The study found that users with stronger
cognitive abilities will perform more efficiently than users with weaker cognitive
abilities while using visualization. Additionally, the study displayed that
visual-spatial information-retrieval interfaces will enable users to perform
better than traditional retrieval interfaces.
Finally, the study stated that users using visualization interfaces in
information retrieval will perform more efficiently than those using a none
visualization interface. The following list the major, all encompassing conclusions of the study.
1. Empirical
studies of information visualization are diverse and applying meta-analysis
methods is difficult.
2. Future
studies would benefit from systematically investigating individual differences,
including a variety of cognitive abilities systematically.
3. When
users displayed the same level of cognitive abilities they tended to perform
better with simpler visual-spatial interfaces.
4. The
combined effect size of visualization in not statistically significant. A
larger homogeneous sample of studies is necessary for conclusive results.
Critique:
This meta-analysis
is especially helpful due to the increasing amount of literate on the topic of visualization. Although its finding were not significant it
provided a very effective start in providing an overview of the current
literature on visualization. As
technology progresses this study will be one to build upon.
Considering
the study came out when visualization was in its infancy, it is understandable
that a minimal amount of articles were available. Although, if the authors would have slightly
expanded their criteria the study would have provided a better overview of
visualization overall. Furthermore, only
five studies tested the effects of visualization on accuracy. To strengthen the argument the authors should
have considered increasing the amount of articles used under this
category. Additionally only three
studies tested the efficiency of visualization. The same critique applies here
in that more sources would have greatly benefited the analysis as well as the
argument overall. Again, by expanding the criteria for an article to be used in the study as well as the categories tested in the study more articles may have been available.
Overall, this study provided a very useful
synthesis of visualization and its benefits.
Expanding upon the approach by conducting a similar study in terms of
visualization today would provide an interesting comparison and an overview of its progression.
Source:
Chen, C. & Yue, Y. Empirical studies of information visualization: a meta-analysis. Int. J. Human-Computer Studies. 53(5), 851-866. Retrieved from: http://www.sciencedirect.com/science/article/pii/S1071581900904221.
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