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Advisor(s)
Abstract(s)
This project helps to close the gap in design-oriented
research on the integration of human cognition and
neuroscience into data visualization design. It makes the case
that generating more useful and easily available data
representations depends on matching visualizations with
human visual perception and cognitive processes. Two main
goals were followed by the research: first, to investigate the
degree to which Eurostat's Instagram data visualizations
embrace ideas of human visual perception and cognition;
second, to propose an original Perceptual-Cognitive Data
Visualization Framework. This framework helps designers
create cognitively accessible visuals and offers a means of
neurologically evaluating their effectiveness — including
stylistic risk evaluation. Applying the proposed framework
on Eurostat's visualizations revealed its simplicity and
efficiency in spotting and fixing problems compromising
communicative efficacy. The research ends with underlining
the need of human cognitive comprehension for the design of
data visualization. Future research should concentrate on
verifying the framework by means of professional
assessment in several environments, including integration of
neuroscientific expertise, and the creation of an interactive
version to lower cognitive load for its users.
Description
Keywords
Data visualization Visual perception Cognition Framework Instagram Eurostat
