Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and Implications

Mohammad Amin Kuhail, Jose Berengueres, Fatma Taher, Sana Zeb Khan, Ansah Siddiqui

Research output: Contribution to journalArticlepeer-review

Abstract

Recent literature indicates the potential of applying Artificial Intelligence (AI) tools to enhance ideation outcomes and optimize functionality across various engineering disciplines. However, a comprehensive understanding of applying AI in the design process is lacking, particularly regarding projects involving innovative design. Here, we address the integration of AI in a case study project. The project goal is to design a haptic boot to be used on Mars. We apply a popular AI tool, ChatGPT-3.5, to each design step, from the requirement gathering phase to the prototyping and testing phase. To assess the merit of the AI contributions, we asked eight domain experts to give qualitative feedback. The results indicate that current AI tools can provide a valuable starting point in the requirements and design phases. However, we noted instances of hallucinations and poor traceability. Finally, the experts' evaluation points out that the AI-proposed requirements and design are missing key elements expected as an outcome in an engineering design process. This study offers insight into the practical application of AI through a specific engineering design process.

Original languageEnglish
Pages (from-to)134235-134255
Number of pages21
JournalIEEE Access
Volume12
DOIs
Publication statusPublished - 2024

Keywords

  • AI
  • ChatGPT
  • design
  • engineering
  • haptics
  • space

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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