Improving product design efficiency through integrated AI tools: an empirical study

Abstract

In recent years, the rapid development of artificial intelligence models has spawned a variety of artificial intelligence tools, especially those related to image generation. These tools have revolutionized the field of design. This study focuses on the overall process of product design, breaking it down into multiple parts to evaluate the functionality and utility of a range of AI tools. The goal is to test and determine if these tools can effectively facilitate and streamline the product design process.After identifying effective AI tools, conduct comprehensive testing to get the operations and parameters in these AI tools that are more consistent with the product design workflow. The study integrates these optimization operations into the entire product design process, resulting in a fundamental approach. This approach Outlines how these AI tools can work together to improve the efficiency and quality of the entire product design process, aiming to match or exceed the capabilities of human designers. In addition, preliminary experiments have verified the effectiveness of the method, showing that the design efficiency and quality are improved after adopting the integrated AI tool method in the product design process.Main research contents:1 Evaluate various AI tools in multiple parts of the product design process to identify effective solutions.2 Test the parameters and operating procedures of the identified AI tools to achieve the best results.3 Establish basic methods in combination with selected AI tools and conduct experiments to obtain preliminary results.Main research methods:1. In-depth understanding of product design process through in-depth interviews and field observation.2 Use data analysis and professional evaluation to evaluate the effectiveness of AI tools.3. Control variable method was used to design experiments to verify the effectiveness of the established method.

Keywords: AI, image generation, product design, methods, experiments, efficiency

DOI: 10.54941/ahfe1004664