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D³IKIT: data-driven design innovation kit

Published online by Cambridge University Press:  16 May 2024

Boyeun Lee  and
Saeema Ahmed-Kristensen
Boyeun Lee*
Affiliation:
University of Exeter Business School, United Kingdom
Saeema Ahmed-Kristensen
Affiliation:
University of Exeter Business School, United Kingdom
*
b.l.lee@exeter.ac.uk

Abstract

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The utilization of data in design is a crucial aspect of shaping the product and service development. Despite the lack of extensive research on this subject, this study aims to bridge the gap by introducing the ‘D³IKIT’, a data-driven design process and toolkit. Through workshops, this process and toolkit offer a practical method for creating innovative product and service concepts using data and machine learning. Developed and tested with the participation of 42 individuals, the ‘D³IKIT’ provides valuable insights for both practitioners and academics.

Keywords

data-driven designinternet of things (IoT)data-driven innovationservice design

Information

Type
Artificial Intelligence and Data-Driven Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2109 - 2118
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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