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An Approach Toward Developing Metrics to Predict Performance and Creativity of Final Products in Project-Based Design Class

[+] Author Affiliations
Shun Takai

Northern Illinois University, Dekalb, IL

Ashok Midha

Missouri University of Science and Technology, Rolla, MO

Marcos Esterman

Rochester Institute of Technology, Rochester, NY

Paper No. DETC2012-70415, pp. 103-110; 8 pages
doi:10.1115/DETC2012-70415
From:
  • ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology
  • Chicago, Illinois, USA, August 12–15, 2012
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4506-6
  • Copyright © 2012 by ASME

abstract

This paper investigates metrics to predict performance and creativity of final products at the early stages of product design, i.e., at concept selection and proof-of-concept (POC) prototyping. Three deliverables (concept sketches, POC prototypes, and final products) in a project-based design class are evaluated using Creative Product Semantic Scale (CPSS). Then, CPSS scores are analyzed using correlation analysis to find CPSS of concept sketches or POC prototypes that significantly correlate with CPSS or performance of final products. The preliminary results of this paper indicate that CPSS subscales may be used to predict performance and creativity of final products; that the earlier the stage of the design process is, the more difficult it is to predict performance of final products; and that building fully-functional prototypes is important to test performance of design concepts.

Copyright © 2012 by ASME
Topics: Creativity , Design

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