Design opportunity conception using the total technology space map. Issue 4 (5th October 2018)

• Record Type: Journal Article
• Authors: Luo, Jianxi; Song, Binyang; Blessing, Lucienne; Wood, Kristin
• Editors: Fu, Katherine; Fuge, Mark; Brown, David
• Is Part Of: AI EDAM. Volume 32:Issue 4(2018)
• Page Start: 449
• Page End: 461
• Publication Date: 2018-10-05
• Subjects: Design opportunity conception, -- creativity, -- ideation, -- patents, -- technology network; Engineering design -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; 620.00420285
• DOI: 10.1017/S0890060418000094
• Languages: English
• ISSNs: 0890-0604

Abstract

Abstract: Traditionally, design opportunities and directions are conceived based on expertise, intuition, or time-consuming user studies and marketing research at the fuzzy front end of the design process. Herein, we propose the use of the total technology space map (TSM) as a visual ideation aid for rapidly conceiving high-level design opportunities. The map is comprised of various technology domains positioned according to knowledge proximity, which is measured based on a large quantity of patent data. It provides a systematic picture of the total technology space to enable stimulated ideation beyond the designer's knowledge. Designers can browse the map and navigate various technologies to conceive new design opportunities that relate different technologies across the space. We demonstrate the process of using TSM as a rapid ideation aid and then analyze its applications in two experiments to show its effectiveness and limitations. Furthermore, we have developed a cloud-based system for computer-aided ideation, that is, InnoGPS, to integrate interactive map browsing for conceiving high-level design opportunities with domain-specific patent retrieval for stimulating concrete technical concepts, and to potentially embed machine-learning and artificial intelligence in the map-aided ideation process.