1218 Large-Scale Multiobjective Design Exploration using K Computer

2014 ◽  
Vol 2014.11 (0) ◽  
pp. _1218-1_-_1218-5_
Author(s):  
Akira OYAMA ◽  
Tomoaki TATSUKAWA ◽  
Takeshi WATANABE
Author(s):  
Luis A Leiva ◽  
Asutosh Hota ◽  
Antti Oulasvirta

Abstract Designers are increasingly using online resources for inspiration. How to best support design exploration without compromising creativity? We introduce and study Design Maps, a class of point-cloud visualizations that makes large user interface datasets explorable. Design Maps are computed using dimensionality reduction and clustering techniques, which we analyze thoroughly in this paper. We present concepts for integrating Design Maps into design tools, including interactive visualization, local neighborhood exploration and functionality to integrate existing solutions to the design at hand. These concepts were implemented in a wireframing tool for mobile apps, which was evaluated with actual designers performing realistic tasks. Overall, designers find Design Maps supporting their creativity (avg. CSI score of 74/100) and indicate that the maps producing consistent whitespacing within cloud points are the most informative ones.


2013 ◽  
Vol 2013 (0) ◽  
pp. _0634-01_-_0634-05_
Author(s):  
Tomoaki Tatsukawa ◽  
Yuki Nagata ◽  
Makoto Yamamoto ◽  
Taku Nonomura ◽  
Akira Oyama ◽  
...  

Author(s):  
Mark Fuge ◽  
Kevin Tee ◽  
Alice Agogino ◽  
Nathan Maton

This paper presents a large-scale empirical study of OpenIDEO, an online collaborative design community. Using network analysis techniques, we describe the properties of this collaborative design network and discuss how it differs from common models of network formation seen in other social or technological networks. One major finding is that in OpenIDEO's social network the highly connected members talk more to less connected members than each other—a behavior not commonly found in other social and collaborative networks. We discuss how some of the interventions and incentives inherent in OpenIDEO's platform might cause this unique structure, and what advantages and disadvantages this structure has for coordinating distributed design teams. Specifically, its core-periphery structure is robust to network changes, but is at risk of decreasing design exploration ability if the core becomes too heavily clustered or loses efficiency. We discuss possible interventions that can prevent this outcome: encouraging core members to collaborate with periphery nodes, and increasing the diversity of the user population.


2009 ◽  
Vol 6 (3) ◽  
pp. 256-270 ◽  
Author(s):  
Akira Oyama ◽  
Yoshiyuki Okabe ◽  
Koji Shimoyama ◽  
Kozo Fujii

2011 ◽  
pp. 303-307
Author(s):  
Yuuki Yamazaki ◽  
Akira Oyama ◽  
Taku Nonomura ◽  
Kozo Fujii ◽  
Makoto Yamamoto

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