The MEDEA Experiment: Can You Accelerate Simulation-based Learning by Combining Information Visualization and Interaction Design Principles?

摘要

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.