Authors:
Christopher J. Garasi
1
;
Richard R. Drake
1
;
John-Mark Collins
2
;
Rafael Picco
2
and
Benjamin E. Hankin
2
Affiliations:
1
Sandia National Laboratories, United States
;
2
Ideum, United States
Keyword(s):
Scientific Visualization, Interaction Design, Accelerated Learning, High-performance Computing.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Interactive Visual Interfaces for Visualization
;
Scientific Visualization
;
Spatial Data Visualization
;
Visual Data Analysis and Knowledge Discovery
;
Visual Representation and Interaction
;
Visualization Applications
;
Visualization Tools and Systems for Simulation and Modeling
Abstract:
The intent of the multipurpose display engineering analysis (MEDEA) experiment was to apply the principles of computer-mediated learning and “play” in the context of high-performance computing (HPC) modeling analysis. Our approach involved the development of software workflow based on interaction design principles using a team of graphic artists, experts in graphics- and touch-based displays, computer programmers, and scientists. The desired outcome was to develop software to overcome perceived HPC modeling usage and learning barriers common to scientific modeling and visualization. Using multiple interaction types, a variety of user workflow experiences were captured (novice/learner, analyst, expert) resulting in a more intuitive and enjoyable experience with a workflow which fosters accelerated learning.