Authors:
Marco Angelini
and
Giuseppe Santucci
Affiliation:
University of Rome ”La Sapienza”, Italy
Keyword(s):
Progressive Visual Analytics, Incremental Visualization, Stability, Consistency, Quality Metrics, Evaluation.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Interpretation and Evaluation Methods
;
Visual Analytical Reasoning
;
Visual Data Analysis and Knowledge Discovery
;
Visual Representation and Interaction
Abstract:
The emerging field of Progressive Visual Analytics (PVA in what follows) deals with the objective of progressively
create the final visualization through a series of intermediate visual results, affected by a degree of
uncertainty and, in some cases, a non monotonic behaviour. According to that, it is a critical issue providing
the user with no confusing visualization and that results in a novel point of view on stability and consistency.
This position paper deals with the novel and challenging issues that PVA poses in term of visual stability and
consistency, providing a preliminary framework in which this problem can be contextualized, measured, and
formalized. In particular, the framework proposes a set of metrics, able to explore both data and visual changes;
a preliminary case study demonstrates their applicability and advantages in adequately representing data
changes in a visualization.