A MODULAR DESIGN TOOL FOR VISUALIZING COMPLEX MULTISCALE SYSTEMS

被引:0
|
作者
Egan, Paul [1 ]
Cagan, Jonathan [1 ]
Schunn, Christian [2 ]
Leduc, Philip [1 ]
机构
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[2] Univ Pittsburgh, Pittsburgh, PA 15260 USA
关键词
complexity; GUI; myosin; cognitive study; SYNTHETIC BIOLOGY; VARIABLES;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As engineers design ever more complex systems, such as bionanotechnology, it is particularly difficult for engineers to navigate the influences of parameters to design across multiple scales. We introduce a software tool that contains graphical interface modules that display multiple inputs and outputs simultaneously in real-time, across multiple scales of interest. To assess the utility of real-time feedback in the tool, the tool is validated through user studies involving counterbalanced sequences of optimization tasks with varying complexity and either real-time or delayed feedback. Real-time feedback consistently improved a user's ability to find better designs and the benefit increased as task complexity grew. Our scientific contribution is a greater understanding of how users search and understand complex design spaces. Users in the real-time condition were made fewer changes to designs each iteration and identifying such strategies could inform agent-based algorithms. Findings aid complex systems applications including virtual experiments, reverse engineering, and scientific discovery.
引用
收藏
页码:1 / 11
页数:11
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