A review of crowdsourcing technology for product design and development

Niu, Xiaojing and Qin, Sheng-feng (2017) A review of crowdsourcing technology for product design and development. In: 2017 23rd International Conference on Automation and Computing (ICAC). IEEE. ISBN 978-1-5090-5040-6

Full text not available from this repository. (Request a copy)
Official URL: https://doi.org/10.23919/IConAC.2017.8081981


With the ever improving availability of social media platforms, the internet and mobile devices, crowdsourcing becomes a popular business development strategy in outsourcing various tasks to outside crowds. In product design and development, one of the crowdsourcing objectives is to engage various users into human-centered design processes and outsource tasks to crowds for better design efficiency, quality and business benefits. There are many studies about crowdsourcing from different viewpoints, but none of them focuses on crowdsourcing technology review, especially in product design and development. In this paper, we report a literature review of crowdsourcing technology including the task assignment techniques, incentive mechanism and communication skills, crowdsourcing framework, and platforms. We also discuss the existing problems: 1) current crowdsourcing platforms only partly support product design activities; 2) crowd workers' privacy may be threatened; 3) some cheat phenomenon may exist on some platforms. Finally, we suggest the future directions on the related crowdsourcing technology.

Item Type: Book Section
Uncontrolled Keywords: crowdsourcing technology, task assignment, incentive mechanism, communication techniques, product design and development
Subjects: P900 Others in Mass Communications and Documentation
Department: Faculties > Arts, Design and Social Sciences > Design
Depositing User: Becky Skoyles
Date Deposited: 12 Feb 2018 15:23
Last Modified: 10 Oct 2019 19:46
URI: http://nrl.northumbria.ac.uk/id/eprint/33335

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics