التفاصيل البيبلوغرافية
| العنوان: |
D³IKIT: data-driven design innovation kit. |
| المؤلفون: |
Lee, Boyeun, Ahmed-Kristensen, Saeema |
| المصدر: |
Proceedings of the Design Society; May2024, Vol. 4, p2109-2118, 10p |
| مصطلحات موضوعية: |
INTERNET of things, SERVICE design, MACHINE learning, MACHINE theory, EMISSION control |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
