The project plans to develop a cognitive model that helps understand, emulate and enhance creativity in conceptual electronic circuit design. Insight into creativity in circuit design is gained from novel behavioral experiments that investigate one main engine of creativity, that of generating conceptual combinations with emergent features, within and across three different areas: analog circuit design, architecture, and general domain. The work studies the impact of constraints and repeated iterations of the design task on the creativity of the solutions. Behavioral experiments in circuit design and architecture will be modeled after the guidelines developed for the general domain. Experiments in circuit design will study additive and non-additive conceptual combinations when designing new electronic circuits, such as modern operational transconductor amplifiers. Experiments in architecture will study, for example, the design of pedestrian bridges with a movable opening. Based on experiments, a cognitive model will be developed for generating iteratively novel conceptual combinations with emergent features.

The work is motivated by electronic circuit design being an expensive activity, accessible only to a small group of experts. There are arguably no methods to improve creativity in circuit design. This is an important limitation as electronic circuits are essential in healthcare, environmental monitoring, infrastructure management, telecommunication, and many other areas. The research is expected to lead to new, creativity-oriented design methodologies of superior productivity. The gained insights can also form the basis of original computer-aided design tools that invent novel circuits, a capability far beyond the tasks performed by current tools. The perspective on how novel conceptual combinations are generated and utilized can be used to develop new methods of instruction in electrical engineering, architecture and computer science.

This work is funded by SBE within the CreativeIT Program.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Type
Standard Grant (Standard)
Application #
0855825
Program Officer
Betty H. Tuller
Project Start
Project End
Budget Start
2009-08-15
Budget End
2014-07-31
Support Year
Fiscal Year
2008
Total Cost
$195,276
Indirect Cost
Name
University of Texas at Arlington
Department
Type
DUNS #
City
Arlington
State
TX
Country
United States
Zip Code
76019