Information Visualization

Research at GRIS addresses a series of aspects related to Information Visualization.

Visual Analytics is closely related to Information Visualization. GRIS combines a broad set of competences reflected by supported data types, analysis techniques, and application areas.

Human-Computer Interaction investigates the bi-directional interaction between humans and computers.

Technique-Driven Research at GRIS

Interactive Machine Learning is a branch of research in Machine Learning with a focus on users and human factors.

Visual Search allows users to query/search digital objects and documents in a visual way.

Visual Comparison addresses the ability of users to compare data objects in a visual way. Being able to compare information is a key factor for analytical reasoning, knowledge generation, and decision making.

Data-Centered Research at GRIS

Interactive Data Generation follows the principle to create data sets in a visual-interactive way.

Multivariate and Mixed Data Analysis focuses on large and complex data sets with many dimensions/attributes/features, i.e., tabular data ready for in-depth analysis and Knowledge Generation.

Spatio-Temporal Visualization is the research in visualization and interaction techniques for data with geographical and temporal information.

Time Series Analysis improves users in the analysis of time series (time-oriented) data. Visual-interactive interfaces play a key role, as well as meaningful Data Mining and Machine Learning techniques for time series data .

Uncertainty Visualization focuses on the communication of uncertainty information about data and models in a visual way. GRIS conducts research for a variety of data types and related uncertainties.

Human-Centered Research at GRIS

Perception and Cognition is a research branch with a focus on the abilities of humans to perceive, process, and comprehend information that is provided in a visual way.

Visual Design is the research on and application of design principles for visual representations of data and analysis systems. User-centered Design is a key concept addressed at GRIS.

Application Areas

Digital Libraries allow the search for digital objects and documents in digital environments. Visual Search is a primary class of techniques that helps to facilitate Digital Library systems.

Medical Data Analysis supports the analysis of data from the medical field. GRIS is involved in a series of projects and collaborations with doctors, physicians, and personal health endeavors.

Information Visualization is the visualization of and interaction with abstract data to amplify the cognition of humans. The overall goal is to support the extraction of knowledge from data.