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Abstract
Modern consumption patterns lead to massive waste, which poses challenges in storage and highlights the urgent need for more sustainable product development. Customer feedback on products plays a crucial role in product design, yet previous studies overlooked these invaluable insights. In response, this study introduces a novel systematic methodology that integrates the strengths of text mining, Quality Function Deployment (QFD), and the Theory of Inventive Problem Solving (TRIZ). Text mining techniques are utilized to extract customer requirements from online platforms, while QFD is used to translate these requirements into technical specifications. By integrating the contradiction matrix from TRIZ theory with the triptych, technical conflicts are resolved. The design process for next-generation smart glasses is employed as an illustrative case to validate the proposed integrated innovation design approach. Analytical outcomes suggest that the introduced methodology can effectively address sustainable product design challenges and sets the stage for future advancements in smart glasses.
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Details
1 The Hong Kong Polytechnic University, Kowloon, Hong Kong (GRID:grid.16890.36) (ISNI:0000 0004 1764 6123); Laboratory for Artificial Intelligence in Design, New Territories, Hong Kong (GRID:grid.16890.36)
2 The Hong Kong Polytechnic University, Kowloon, Hong Kong (GRID:grid.16890.36) (ISNI:0000 0004 1764 6123)
3 Laboratory for Artificial Intelligence in Design, New Territories, Hong Kong (GRID:grid.16890.36)