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Enhancing Product Design Efficiency Through Artificial Intelligence-Generated Content: A Case Study of a Home Office Desk

  • Xiaoying Tang,
  • Silu Zheng,
  • Zitao Liu

摘要

With the rapid development of technology, Artificial Intelligence Generated Content (AIGC) tools have attracted a lot of attention and brought unprecedented opportunities to the design field. Based on the “Design Thinking” theory, this study explores how AIGC tools can enhance creative stimulation and efficiency in product design, using the home office desk as a case study. The research team used the AI text generation tool to assist users in the empathy stage to identify and create an interview outline and in the problem definition stage to transform the interview information into questions and needs. In the conceptualization phase, the AIGC tool helped stimulate creativity and transform user needs into concrete design solutions. The design prototype phase uses AI image generation tools to visualize the design solution. The testing and validation phase verifies the feasibility of the AIGC tool in design practice through a user satisfaction questionnaire, demonstrating its potential to improve design efficiency. The study aims to inspire researchers in the field of product design and encourage the application of AIGC tools to future product design and development processes to meet the changing market demands.