众包智能设计方法

向为; 孙凌云; 尤伟涛; 杨昌源

doi:10.1631/FITEE.1700810

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众包智能设计方法

2018 Special Issue on Artificial Intelligence 2.0: Theories and Applications | Updated：2022-05-19

- 众包智能设计方法
- Crowdsourcing intelligent design
- 信息与电子工程前沿（英文） 2018年19卷第1期页码：126-138
- Affiliations：
  
  State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310058, China
  Modern Industrial Design Institute, Zhejiang University, Hangzhou 310027, China
  International User Experience Business Unit, Alibaba Group, Hangzhou 310000, China
- Author bio：
  
  [ "Wei XIANG, E-mail: wxiang@zju.edu.cn" ]
  Ling-yun SUN, E-mail: sunly@zju.edu.cn
  [ "Wei-tao YOU, E-mail: weitao_you@zju.edu.cn" ]
  [ "Chang-yuan YANG, E-mail: changyuan.yangcy@alibaba-inc.com" ]
- Funds：
  
  Project supported by the National Natural Science Foundation of China (No. 61672451), the National Basic Research Program (973) of China (No. 2015CB352503), and the Alibaba-Zhejiang University Joint Institute of Frontier Technologies
- DOI：10.1631/FITEE.1700810
  中图分类号： TP391
- 收稿：2017-12-04，
  
  修回：2018-;1-25，
  
  纸质出版：2018-01
- Accepted：
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向为, 孙凌云, 尤伟涛, 等. 众包智能设计方法[J]. 信息与电子工程前沿（英文）, 2018,19(1):126-138.

Wei XIANG, Ling-yun SUN, Wei-tao YOU, et al. Crowdsourcing intelligent design[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(1): 126-138.
向为, 孙凌云, 尤伟涛, 等. 众包智能设计方法[J]. 信息与电子工程前沿（英文）, 2018,19(1):126-138. DOI： 10.1631/FITEE.1700810.

Wei XIANG, Ling-yun SUN, Wei-tao YOU, et al. Crowdsourcing intelligent design[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(1): 126-138. DOI： 10.1631/FITEE.1700810.

摘要

通过利用人工智能方法解决创造性问题、产出创意方案，设计智能在新一代人工智能背景下高速发展。现有人工智能方法善于从数据中学习，难以产出不同于训练数据的创意方案。众包结合人的创意灵感与计算机的计算能力进行创意设计，有望提升设计智能的创新能力。已有众包设计多采用筛选方法，依赖参与者自身提出高质量方案，对众包控制力弱，产出方案质量不稳定。针对这些问题，本文提出一种柔性众包设计的众包智能设计方法。该方法整合参与者创意和培育创意以得到高质量方案。通过一系列研究呈现了如何利用柔性众包设计方法持续产出原创创意。特别地，描述了柔性众包设计方法的流程、众包任务、创意发展的影响因素、计算创意发展潜力的方法，以及两个柔性众包设计方法的应用案例，并据此总结该方法的设计能力。柔性众包设计方法可提升众包设计表现，支持设计智能发展。

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.

关键词

Keywords

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