Abstract
ML (machine learning) technology has customized products and services in different fields based on the data related to the user preference with the application of artificial intelligence technology in design. Although technology has unlimited potential to provide highly qualified products and services, we currently lack effective methods to work with ML in the design process, especially in co-design. This article aims to analyze the design methods in support of ML in the early co-design stages. This research presented an organized design workshop, in which all designers and programmers participated had more than two years of experience in ML product development. Eight users were also invited. The study discussed two methods: role-playing and scenarios, which can help co-designers understand and work with it in the fussy front end.
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Zhao, Y., Tan, H., Gao, W., Zhang, C. (2021). Methods of Co-design Using Machine Learning as Design Materials. In: Rebelo, F. (eds) Advances in Ergonomics in Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-030-79760-7_117
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