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The Strategic Advantages of Artificial Intelligence System for Product Design Teams with Diverse Cross-Domain Knowledge

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Cross-Cultural Design. Experience and Product Design Across Cultures (HCII 2021)

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Abstract

New product development is often promoted and managed by enterprises in the form of projects. A new product development project involves a knowledge-intensive process and a series of complex team-working procedures. Therefore, enterprises can establish new product development process or model through practical experience of projects, which can not only serve as the basis for continuous learning and progress of R&D organizations, but also serve as the benchmark for the management of new product development activities. In this study, Construction Ontology-based NPD Process Recommendation Smart System (ONPS) consistent knowledge base architecture. ONPS assist the company, department quickly build and easy to maintain the body of knowledge; at the same time build a graphical user interface for presenting Find knowledge in knowledge, enhance the efficiency of reuse of knowledge. And with three desktop computers as a case study; the original will-depth interviews and expert designers to take advantage of this study ONPS to build ontologies validation framework; and requested the original expert designers use SUS ease of use in the assessment of verification graphical user interface. The results showed that ONPS is feasible, the corporate sector can help quickly build a structure consistent body of knowledge, reasoning ability and possess the knowledge, easy to maintain, but also have a high degree of scalability.

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Hsu, Y., Chaing, YH. (2021). The Strategic Advantages of Artificial Intelligence System for Product Design Teams with Diverse Cross-Domain Knowledge. In: Rau, PL.P. (eds) Cross-Cultural Design. Experience and Product Design Across Cultures. HCII 2021. Lecture Notes in Computer Science(), vol 12771. Springer, Cham. https://doi.org/10.1007/978-3-030-77074-7_31

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  • DOI: https://doi.org/10.1007/978-3-030-77074-7_31

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