A crowdsourcing design framework for concept generation. Issue 1 (2016)

• Record Type: Journal Article
• Authors: Liu, Ang; Lu, Stephen C.-Y.
• Is Part Of: CIRP annals. Volume 65:Issue 1(2016)
• Page Start: 177
• Page End: 180
• Publication Date: 2016
• Subjects: Conceptual design -- Design method -- Crowdsourcing; Production engineering -- Research -- Periodicals; 670.5
• DOI: 10.1016/j.cirp.2016.04.021
• Languages: English
• ISSNs: 0007-8506

Abstract

Abstract: In the Internet era, customers become increasingly used to publishing their reviews of products online. This paper presents a crowdsourcing design framework (CDF) that exploits those online customer reviews to support concept generation in conceptual design. CDF guides designers through a systemic qualitative data analysis process to abstract relevant design intelligence based on highlighted customer reviews published by lead users, towards a database of logic propositions, which is queried by designers to increase knowledge and inspire creativity. A controlled experiment shows that CDF significantly enhances novice designers' ideation effectiveness and improves their innovative design thinking.