CLC number: TP391
On-line Access: 2018-03-10
Received: 2017-12-04
Revision Accepted: 2018-01-20
Crosschecked: 2018-01-25
Cited: 0
Clicked: 6445
Wei Xiang, Ling-yun Sun, Wei-tao You, Chang-yuan Yang. Crowdsourcing intelligent design[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(1): 126-138.
@article{title="Crowdsourcing intelligent design",
author="Wei Xiang, Ling-yun Sun, Wei-tao You, Chang-yuan Yang",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="19",
number="1",
pages="126-138",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700810"
}
%0 Journal Article
%T Crowdsourcing intelligent design
%A Wei Xiang
%A Ling-yun Sun
%A Wei-tao You
%A Chang-yuan Yang
%J Frontiers of Information Technology & Electronic Engineering
%V 19
%N 1
%P 126-138
%@ 2095-9184
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700810
TY - JOUR
T1 - Crowdsourcing intelligent design
A1 - Wei Xiang
A1 - Ling-yun Sun
A1 - Wei-tao You
A1 - Chang-yuan Yang
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 19
IS - 1
SP - 126
EP - 138
%@ 2095-9184
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1700810
Abstract: design intelligence, namely, artificial intelligence to solve creative problems and produce creative ideas, has improved rapidly with the new generation artificial intelligence. However, existing methods are more skillful in learning from data and have limitations in creating original ideas different from the training data. crowdsourcing offers a promising method to produce creative designs by combining human inspiration and machines’ computational ability. We propose a crowdsourcing intelligent design method called ‘flexible crowdsourcing design’. Design ideas produced through crowdsourcing design can be unreliable and inconsistent because they rely solely on selection among participants’ submissions of ideas. In contrast, the flexible crowdsourcing design method employs a cultivation procedure that integrates the ideas from crowd participants and cultivates these ideas to improve design quality at the same time. We introduce a series of studies to show how flexible crowdsourcing design can produce original design ideas consistently. Specifically, we will describe the typical procedure of flexible crowdsourcing design, the refined crowdsourcing tasks, the factors that affect the idea development process, the method for calculating idea development potential, and two applications of the flexible crowdsourcing design method. Finally, it summarizes the design capabilities enabled by crowdsourcing intelligent design. This method enhances the performance of crowdsourcing design and supports the development of design intelligence.
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