Crowdsourcing with online quantitative design analysis
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Published version
Author(s)
Birch, DA
Guo, Yike
Simondetti, Alvise
Type
Journal Article
Abstract
Design is a balancing act between people’s competing concerns, design options and design performance. Recently collecting data on such concerns such as sustainability or aesthetics has become possible through online crowdsourcing, particularly in 3d. However, such systems rarely present more than a single design alternative or allow users to change the design and seldom provide quantitative design analysis to gauge design performance. This precludes a more participatory approach including a wider audience and their insight in the design process.
To improve the design process we propose a system to assist the design team in exploring the balance of concerns, design options and their performance. We augment a 3d visualisation crowdsourcing environment with quantitative on-demand assessment of design variants run in the cloud. This enables crowdsourced exploration of the design space and its performance. Automated participant tracking and explicit submitted feedback on design options are collated and presented to aid the design team in balancing the demands of urban master planning. We report application of this system to an urban masterplan with Arup.
To improve the design process we propose a system to assist the design team in exploring the balance of concerns, design options and their performance. We augment a 3d visualisation crowdsourcing environment with quantitative on-demand assessment of design variants run in the cloud. This enables crowdsourced exploration of the design space and its performance. Automated participant tracking and explicit submitted feedback on design options are collated and presented to aid the design team in balancing the demands of urban master planning. We report application of this system to an urban masterplan with Arup.
Date Issued
2018-10-01
Date Acceptance
2018-07-15
Citation
Advanced Engineering Informatics, 2018, 38, pp.242-251
ISSN
1474-0346
Publisher
Elsevier
Start Page
242
End Page
251
Journal / Book Title
Advanced Engineering Informatics
Volume
38
Copyright Statement
© 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
License URL
Sponsor
Engineering & Physical Science Research Council (EPSRC)
EPSRC
Ove Arup and Partners International Ltd
Grant Number
EP/I038837/1
EP/I038837/1
GRC-2015-Call 2
Subjects
09 Engineering
08 Information And Computing Sciences
Design Practice & Management
Publication Status
Published
Date Publish Online
2018-07-19