Evaluation of parallel coordinates: Overview, categorization and guidelines for future research
J Johansson, C Forsell - IEEE transactions on visualization and …, 2015 - ieeexplore.ieee.org
The parallel coordinates technique is widely used for the analysis of multivariate data.
During recent decades significant research efforts have been devoted to exploring the …
During recent decades significant research efforts have been devoted to exploring the …
Characterizing provenance in visualization and data analysis: an organizational framework of provenance types and purposes
While the primary goal of visual analytics research is to improve the quality of insights and
findings, a substantial amount of research in provenance has focused on the history of …
findings, a substantial amount of research in provenance has focused on the history of …
The elicitation interview technique: Capturing people's experiences of data representations
T Hogan, U Hinrichs… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Information visualization has become a popular tool to facilitate sense-making, discovery
and communication in a large range of professional and casual contexts. However …
and communication in a large range of professional and casual contexts. However …
Data‐driven evaluation of visual quality measures
M Sedlmair, M Aupetit - Computer graphics forum, 2015 - Wiley Online Library
Visual quality measures seek to algorithmically imitate human judgments of patterns such as
class separability, correlation, or outliers. In this paper, we propose a novel data‐driven …
class separability, correlation, or outliers. In this paper, we propose a novel data‐driven …
Unlocking user-centered design methods for building cyber security visualizations
User-centered design can aid visualization designers to build better, more practical tools
that meet the needs of cyber security users. The cyber security visualization research …
that meet the needs of cyber security users. The cyber security visualization research …
Persistent homology for the evaluation of dimensionality reduction schemes
High‐dimensional data sets are a prevalent occurrence in many application domains. This
data is commonly visualized using dimensionality reduction (DR) methods. DR methods …
data is commonly visualized using dimensionality reduction (DR) methods. DR methods …
An overview of semantic search evaluation initiatives
Recent work on searching the Semantic Web has yielded a wide range of approaches with
respect to the underlying search mechanisms, results management and presentation, and …
respect to the underlying search mechanisms, results management and presentation, and …
CAST: Effective and efficient user interaction for context-aware selection in 3D particle clouds
We present a family of three interactive Context-Aware Selection Techniques (CAST) for the
analysis of large 3D particle datasets. For these datasets, spatial selection is an essential …
analysis of large 3D particle datasets. For these datasets, spatial selection is an essential …
Towards an understanding of mobile touch navigation in a stereoscopic viewing environment for 3D data exploration
We discuss touch-based navigation of 3D visualizations in a combined monoscopic and
stereoscopic viewing environment. We identify a set of interaction modes, and a workflow …
stereoscopic viewing environment. We identify a set of interaction modes, and a workflow …
Stacked space-time densities: a geovisualisation approach to explore dynamics of space use over time
Recent developments and ubiquitous use of global positioning devices have revolutionised
movement ecology. Scientists are able to collect increasingly larger movement datasets at …
movement ecology. Scientists are able to collect increasingly larger movement datasets at …