Constructing a Cross-Disciplinary Idea Convergence System Using AIGC: A Case Study of Engineering and Design

In response to globalization and increased competition, individual professionals in a single field often cannot provide comprehensive solutions. Collaboration among professionals from different disciplines is required to find more effective solutions. This study aims to develop a system called AIGC (AI Generated Content) to facilitate idea convergence in interdisciplinary teams. The system aims to address the collaboration challenges between engineering and design fields and facilitate consensus through the introduction of images and visual elements. To achieve this goal, qualitative research methods were employed, including contextual interviews, the KJ method, brainstorming, personas, and user journey mapping, among others. These methods were chosen because they provide in-depth understanding of communication and collaboration patterns among participants and offer valuable insights. The selection of participants was based on their experience and expertise in interdisciplinary projects. Students from design and engineering fields were chosen as research participants to ensure diversity and representativeness. During the execution of the study, the research team collected data through contextual interviews and related qualitative research methods. The steps involved in contextual interviews included selecting appropriate scenarios, designing relevant guided questions, and conducting face-to-face interviews. Through these methods, we gained deep insights into participants' communication patterns, thought processes, and collaboration needs. The results of this study demonstrate that the AIGC system, which facilitates interdisciplinary idea convergence, effectively promotes consensus among participants. This is achieved through interactive processes such as selecting images, describing images, and engaging in interactive design. The application of the system is significant in addressing collaboration challenges between the engineering and design fields and holds potential value in enhancing teamwork and creative output.