Author:
Jaya Sreevalsan-Nair
Affiliation:
Graphics-Visualization-Computing Lab, International Institute of Information Technology Bangalore, Bangalore, India
Keyword(s):
Metavisualization, Visualization, Visual Analytics, Analysis of Visualizations, Human-in-the-Loop, Deep Learning, Machine Learning, Systems, Chart Classification, Text Summarization.
Abstract:
Metavisualization is the “visualization of visualizations” which is the commonly used definition. However, there is a gap in the theoretical foundations of metavisualization. This gap has led to the under-utilization of metavisualization, which is much needed today, given the proliferation of the use of visualizations in data science. Two observations have inspired this work to build the theory of metavisualization: (i) the interdisciplinary differences in the understanding of metavisualization, and (ii) the inter-relationships between metavisualization, analysis of visualizations, and visual analytics. Hence, we conduct a systematic literature review on metavisualization, identify visualization properties that can be used for generating a metavisualization, and propose a design space for these properties. This work is a theoretical discourse on metavisualization of visualization and its properties, based on the visualization-based understanding and practice of metavisualization.