PROCEEDINGS OF THE ANNUAL CONFERENCE OF JSSD
THE 72th ANNUAL CONFERENCE OF JSSD
Session ID : B2-03
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Implementation of car design work using generative AI and investigation of its merits and demerits
Joint design research of Nagoya City University School of Design and Architecture and Suzuki Motor Corporation Design Department
*Tomoaki KageyamaYitian ChenYuki Taguchi
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
To investigate the potential and risks of generative AI, Nagoya City University and Suzuki Motor Corporation's Design Department conducted car design work incorporating generative AI for students of Nagoya City University School of Design and Architecture. After a month and a half of design work, we conducted a questionnaire survey of the 17 students and 7 staff members of Suzuki's Design Department, who supervised the students. The results showed that the lower the level of the students, the more they answered that the language generation AI expanded the range of their ideas. Furthermore, the results of the same question in the staff questionnaire differed from the student questionnaire, with the students generally rating the language-generating AI as narrowing the range of ideas. These results suggest that the higher one's skill as a designer increases, the more the integration by AI may constrain one's thinking.
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