Abstract
Inclusive design focuses on diversity. The contextualized user-sensitive design framework of the interaction system needs to analyze and deal with complex diversity factors, which challenges the traditional design process, tools, and methods. Therefore, new technological progress is needed to provide more innovation potential. The authors point out that the design process of smart products is evolving in response to uncertainty. In the future, diversity-oriented design will tend to allocate design resources and values in an algorithmic way rather than the compromised unity solution. This paper analyzes the limitations and potential of the application of AI technology represented by deep learning in diversity-oriented design practice and design research, puts forward the goal and direction of further research, and discusses the critical links of AI-enabled diversity design in interdisciplinary research environment.
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Li, F., Dong, H., Liu, L. (2020). Using AI to Enable Design for Diversity: A Perspective. In: Di Bucchianico, G., Shin, C., Shim, S., Fukuda, S., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1202. Springer, Cham. https://doi.org/10.1007/978-3-030-51194-4_11
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DOI: https://doi.org/10.1007/978-3-030-51194-4_11
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