Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and Implications
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 proj...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10684193/ |
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| author | Mohammad Amin Kuhail Jose Berengueres Fatma Taher Sana Zeb Khan Ansah Siddiqui |
| author_facet | Mohammad Amin Kuhail Jose Berengueres Fatma Taher Sana Zeb Khan Ansah Siddiqui |
| author_sort | Mohammad Amin Kuhail |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-fea225dfa7e344bc8bc34ed3f2c6dd30 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-fea225dfa7e344bc8bc34ed3f2c6dd302025-08-20T03:49:22ZengIEEEIEEE Access2169-35362024-01-011213423513425510.1109/ACCESS.2024.344939610684193Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and ImplicationsMohammad Amin Kuhail0https://orcid.org/0000-0002-0000-0989Jose Berengueres1https://orcid.org/0000-0001-8572-7898Fatma Taher2https://orcid.org/0000-0001-8358-9081Sana Zeb Khan3https://orcid.org/0000-0001-5391-9051Ansah Siddiqui4https://orcid.org/0009-0001-7396-1545College of Technological Innovation, Zayed University, Dubai, United Arab EmiratesCollege of Information Technology, UAE University, Al Ain, United Arab EmiratesCollege of Technological Innovation, Zayed University, Dubai, United Arab EmiratesCollege of Engineering, American University of Sharjah, Sharjah, United Arab EmiratesCollege of Engineering, American University of Sharjah, Sharjah, United Arab EmiratesRecent 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.https://ieeexplore.ieee.org/document/10684193/AIChatGPTdesignengineeringspacehaptics |
| spellingShingle | Mohammad Amin Kuhail Jose Berengueres Fatma Taher Sana Zeb Khan Ansah Siddiqui Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and Implications IEEE Access AI ChatGPT design engineering space haptics |
| title | Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and Implications |
| title_full | Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and Implications |
| title_fullStr | Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and Implications |
| title_full_unstemmed | Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and Implications |
| title_short | Designing a Haptic Boot for Space With Prompt Engineering: Process, Insights, and Implications |
| title_sort | designing a haptic boot for space with prompt engineering process insights and implications |
| topic | AI ChatGPT design engineering space haptics |
| url | https://ieeexplore.ieee.org/document/10684193/ |
| work_keys_str_mv | AT mohammadaminkuhail designingahapticbootforspacewithpromptengineeringprocessinsightsandimplications AT joseberengueres designingahapticbootforspacewithpromptengineeringprocessinsightsandimplications AT fatmataher designingahapticbootforspacewithpromptengineeringprocessinsightsandimplications AT sanazebkhan designingahapticbootforspacewithpromptengineeringprocessinsightsandimplications AT ansahsiddiqui designingahapticbootforspacewithpromptengineeringprocessinsightsandimplications |