Author(s)

Bei Ran

Corresponding Author

Bei Ran

ABSTRACT

To apply the AI technology to product semantic design and build a designer model that matches users’ mental through the application of technologies including big data, cloud computing and machine learning so that services provided for users can be transformed from reactive and passive ones to feed-forward and proactive ones. This paper illustrates the research framework of product semantic design, reviews the formation and development of the AI technology and proposes an AI-based method of research on product semantic design. The focus of the research will shift from the correspondence between a designer model and users’ perception, cognition, meaning and behavior to the building of a designer model that directly interprets and simulates human intelligence through the application of AI so as to provide outstanding user experience tangibly and intangibly in the era of intelligence. By collaboratively extracting unstructured big and small data and directly translating them into a designer model that simulates human minds, the AI technology helps human users with their self-fulfillment and decision-making. AI has changed the subject-object relation between humans and the external world in product semantic design with the emergence of new ideas, thoughts, methods and evaluation criteria.

KEYWORDS

Artificial Intelligence (AI), product semantic design, big data, Deep Learning, mindset model