DATA-DRIVEN DESIGN IN CONCEPT DEVELOPMENT: SYSTEMATIC REVIEW AND MISSED OPPORTUNITIES. (May 2020)

• Record Type: Journal Article
• Authors: Bertoni, A.
• Is Part Of: Proceedings of the Design Society: DESIGN Conference. Volume 1(2020)
• Page Start: 101
• Page End: 110
• Publication Date: 2020-05
• Subjects: data-driven design -- conceptual design -- engineering design -- data science -- data mining; Engineering design -- Congresses; Industrial design -- Congresses; 620.0042
• DOI: 10.1017/dsd.2020.4
• Languages: English
• ISSNs: 2633-7762

Abstract

Abstract: The paper presents a systematic literature review investigating definitions, uses, and application of data-driven design in the concept development process. The analysis shows a predominance of the use of text mining techniques on social media and online reviews to identify customers' needs, not exploiting the opportunity granted by the increased accessibility of IoT in cyber-physical systems. The paper argues that such a gap limits the potential of capturing tacit customers' needs and highlights the need to proactively plan and design for a transition toward data-driven design.