Effects of 2D Online and 3D Virtual World Meeting Spaces on the Performance of a Concept Selection Task by Engineering Design Teams

2011 ◽  
Author(s):  
Necmettin Firat Ozkan ◽  
Joel S. Greenstein
Author(s):  
Christopher A. Gosnell ◽  
Scarlett R. Miller

Engineering design idea-generation sessions often result in dozens, if not hundreds, of ideas. These ideas must be quickly evaluated and filtered in order to select a few candidate concepts to move forward in the design process. While creativity is often stressed in the conceptual phases of design, it receives little attention in these later phases — particularly during concept selection. This is largely because there are no methods for quickly rating or identifying worthwhile creative concepts during this process. Therefore, the purpose of this study was to develop and test a novel method for evaluating the creativity and feasibility of design concepts and compare this method to gold standards in our field. The SCAT method employed in this paper uses word selections and semantic similarity to quickly and effectively evaluate candidate concepts for their creativity and feasibility. This method requires little knowledge of the rating process by the evaluator. We tested this method with 10 engineering designers and three different design tasks. Our results revealed that SCAT ratings can be used as a proxy for measuring design concepts but there are modifications that could enhance its utility. This work contributes to our understanding of how to evaluate creativity after idea generation and provides a framework for further research in this field.


2000 ◽  
Vol 21 (4) ◽  
pp. 375-402 ◽  
Author(s):  
P Jagodzinski ◽  
F.J.M Reid ◽  
P Culverhouse ◽  
R Parsons ◽  
I Phillips

2015 ◽  
Vol 65 ◽  
pp. 259-268
Author(s):  
Maria Aristeidou ◽  
Natalia Spyropoulou

2018 ◽  
Author(s):  
Christopher McComb ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky

Although insights uncovered by design cognition are often utilized to develop the methods used by human designers, using such insights to inform computational methodologies also has the potential to improve the performance of design algorithms. This paper uses insights from research on design cognition and design teams to inform a better simulated annealing search algorithm. Simulated annealing has already been established as a model of individual problem solving. This paper introduces the Heterogeneous Simulated Annealing Team (HSAT) algorithm, a multi-agent simulated annealing algorithm. Each agent controls an adaptive annealing schedule, allowing the team develop heterogeneous search strategies. Such diversity is a natural part of engineering design, and boosts performance in other multi-agent algorithms. Further, interaction between agents in HSAT is structured to mimic interaction between members of a design team. Performance is compared to several other simulated annealing algorithms, a random search algorithm, and a gradient-based algorithm. Compared to other algorithms, the team-based HSAT algorithm returns better average results with lower variance.


Author(s):  
Valentina Caruso ◽  
Anders I. Mørch ◽  
Ingvill Thomassen ◽  
Melissa Hartley ◽  
Barbara Ludlow

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