[2304.02796] Opportunities and challenges of ChatGPT for design knowledge management
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Computer Science > Information Retrieval

arXiv:2304.02796 (cs)
[Submitted on 6 Apr 2023]

Title:Opportunities and challenges of ChatGPT for design knowledge management

Authors:Xin Hu, Yu Tian, Keisuke Nagato, Masayuki Nakao, Ang Liu
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Abstract:Recent advancements in Natural Language Processing have opened up new possibilities for the development of large language models like ChatGPT, which can facilitate knowledge management in the design process by providing designers with access to a vast array of relevant information. However, integrating ChatGPT into the design process also presents new challenges. In this paper, we provide a concise review of the classification and representation of design knowledge, and past efforts to support designers in acquiring knowledge. We analyze the opportunities and challenges that ChatGPT presents for knowledge management in design and propose promising future research directions. A case study is conducted to validate the advantages and drawbacks of ChatGPT, showing that designers can acquire targeted knowledge from various domains, but the quality of the acquired knowledge is highly dependent on the prompt.
Comments: This is a conference paper, 8 pages, 4 figures
Subjects: Information Retrieval (cs.IR)
Cite as: arXiv:2304.02796 [cs.IR]
  (or arXiv:2304.02796v1 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2304.02796

Submission history

From: Xin Hu [view email]
[v1] Thu, 6 Apr 2023 00:14:56 UTC (759 KB)
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