  The ability to read, understand, and comprehend visual information
representations is subsumed under the term visualization literacy (VL). One
possibility to improve the use of information visualizations is to introduce
adaptations. However, it is yet unclear whether people with different VL
benefit from adaptations to the same degree. We conducted an online experiment
(n = 42) to investigate whether the effect of an adaptation (here: De-Emphasis)
of visualizations (bar charts, scatter plots) on performance (accuracy, time)
and user experiences depends on users' VL level. Using linear mixed models for
the analyses, we found a positive impact of the De-Emphasis adaptation across
all conditions, as well as an interaction effect of adaptation and VL on the
task completion time for bar charts. This work contributes to a better
understanding of the intertwined relationship of VL and visual adaptations and
motivates future research.

Human-Computer Interaction