NSF Org:	IIS Division of Information & Intelligent Systems
Recipient:	TEXAS A&M ENGINEERING EXPERIMENT STATION
Initial Amendment Date:	August 27, 2008
Latest Amendment Date:	August 14, 2009
Award Number:	0840969
Award Instrument:	Standard Grant
Program Manager:	Ephraim Glinert IIS  Division of Information & Intelligent Systems CSE  Directorate for Computer and Information Science and Engineering
Start Date:	September 1, 2008
End Date:	February 28, 2010 (Estimated)
Total Intended Award Amount:	$0.00
Total Awarded Amount to Date:	$45,880.00
Funds Obligated to Date:	FY 2008 = $29,880.00 FY 2009 = $16,000.00
History of Investigator:	Daniel McAdams (Principal Investigator) dmcadams@tamu.edu Julie Linsey (Co-Principal Investigator)
Recipient Sponsored Research Office:	Texas A&M Engineering Experiment Station 3124 TAMU COLLEGE STATION TX  US  77843-3124 (979)862-6777
Sponsor Congressional District:	10
Primary Place of Performance:	Texas A&M Engineering Experiment Station 3124 TAMU COLLEGE STATION TX  US  77843-3124
Primary Place of Performance Congressional District:	10
Unique Entity Identifier (UEI):	QD1MX6N5YTN4
Parent UEI:	QD1MX6N5YTN4
NSF Program(s):	HCC-Human-Centered Computing, CreativeIT
Primary Program Source:	01000809DB NSF RESEARCH & RELATED ACTIVIT 01000910DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	7367, 7788, 9215, 9237, 9251, HPCC
Program Element Code(s):	736700, 778800
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT

This project creates and evaluates new visualization techniques of models from a concept generator to stimulate the designer to generate concepts not originally posed by designer or computer. This technology is expected to enable the development of creative solutions to design problems that would otherwise go undiscovered. The three challenges to achieving effective visualization for enhancing creative design at the concept generation phase are: 1) how to cluster the many concept variants returned from an automated concept generation algorithm into a manageable set of representative concepts that spans the design alternative space; 2) how to visually represent the option space to the designer so that it enhances creativity; and 3) how to measure the impact of the visualization schemes on designer creativity. This exploratory research, if successful, offers the opportunity to transform how we design products and systems and how we guide any designer to a creative new product.

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