Outubro 2023 vol. 11 num. 4 - 15th International Conference of the European Academy of Design

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"Artificial Muse: Inspiration of ChatGPT for Design Research "

"Artificial Muse: Inspiration of ChatGPT for Design Research "

Song, Yao ;

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This paper explores the applicability of the AI language model, ChatGPT, in generating academic content, with a focus on design research. The study utilized a dual-phased experimental approach where ChatGPT was first fine-tuned on a specialized corpus and then produced texts for evaluation by an expert panel. The panel, consisting of professionals in design and AI fields, assessed the readability and coherence of the AI-generated text against human-written counterparts. Despite the high variability in expert evaluation, the results suggest that ChatGPT's output can match the quality of human writing in terms of readability and coherence from certain perspectives. However, this is not a unanimous view and responses diverged significantly, underlining the multifaceted perspectives on the potential of AI in academic writing. While our study did not find conclusive favor for AI-generated content, it brings out a nuanced understanding of the potential role, strengths, and weaknesses of AI in academic writing. We also discuss the ethical implications of AI authorship and the importance of recognizing AI's contributions transparently. This research serves as an initial exploration into a rapidly evolving field, offering insights to scholars and practitioners grappling with the implications of AI in academia.

Full paper:

This paper explores the applicability of the AI language model, ChatGPT, in generating academic content, with a focus on design research. The study utilized a dual-phased experimental approach where ChatGPT was first fine-tuned on a specialized corpus and then produced texts for evaluation by an expert panel. The panel, consisting of professionals in design and AI fields, assessed the readability and coherence of the AI-generated text against human-written counterparts. Despite the high variability in expert evaluation, the results suggest that ChatGPT's output can match the quality of human writing in terms of readability and coherence from certain perspectives. However, this is not a unanimous view and responses diverged significantly, underlining the multifaceted perspectives on the potential of AI in academic writing. While our study did not find conclusive favor for AI-generated content, it brings out a nuanced understanding of the potential role, strengths, and weaknesses of AI in academic writing. We also discuss the ethical implications of AI authorship and the importance of recognizing AI's contributions transparently. This research serves as an initial exploration into a rapidly evolving field, offering insights to scholars and practitioners grappling with the implications of AI in academia.

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Palavras-chave: Inspiration; ChatGPT; Design Research,

Palavras-chave: Inspiration; ChatGPT; Design Research,

DOI: 10.5151/ead2023-4ESP-01Full-09Yao-Song

Referências bibliográficas
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Como citar:

Song, Yao; ""Artificial Muse: Inspiration of ChatGPT for Design Research "", p. 786-793 . In: 15th International Conference of the European Academy of Design. São Paulo: Blucher, 2023.
ISSN 2318-6968, DOI 10.5151/ead2023-4ESP-01Full-09Yao-Song

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