TY - GEN
T1 - Artificial Intelligence Tools and Chatbots for Design Education
AU - Shreya, H. R.
AU - Kumar, Tarun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Rapid advancements in computing power and artificial intelligence (AI) have propelled the development of advanced tools and chatbots for design education. These generative AI tools can provide inspiration to solve problems based on prompts. ChatGPT is a natural language processing (NLP) model, but it is limited to generating verbal responses and basic images. Hence, it cannot contribute heavily to the design process due to the inability to generate complex images and 3D models. Other AI tools, like Craiyon, Sloyd, and 3dfy, can process text to produce images or 3D models using convolutional neural networks. In this paper, these tools are used in the design process by employing prompt engineering. A sample project is documented, and different conceptual design phases are identified. In each phase, assistive AI tools are incorporated and the outputs—with and without AI tools—are compared and analysed. It is inferred that AI tools can potentially transform the domain by making the process faster and more effective. Currently, these AI tools are assistive, however, in the future, they might contribute more significantly to the process. Hence, AI tools should be integrated into the design curriculum, reducing the time spent on gathering resources and increasing the creativity of solutions.
AB - Rapid advancements in computing power and artificial intelligence (AI) have propelled the development of advanced tools and chatbots for design education. These generative AI tools can provide inspiration to solve problems based on prompts. ChatGPT is a natural language processing (NLP) model, but it is limited to generating verbal responses and basic images. Hence, it cannot contribute heavily to the design process due to the inability to generate complex images and 3D models. Other AI tools, like Craiyon, Sloyd, and 3dfy, can process text to produce images or 3D models using convolutional neural networks. In this paper, these tools are used in the design process by employing prompt engineering. A sample project is documented, and different conceptual design phases are identified. In each phase, assistive AI tools are incorporated and the outputs—with and without AI tools—are compared and analysed. It is inferred that AI tools can potentially transform the domain by making the process faster and more effective. Currently, these AI tools are assistive, however, in the future, they might contribute more significantly to the process. Hence, AI tools should be integrated into the design curriculum, reducing the time spent on gathering resources and increasing the creativity of solutions.
KW - AI tools
KW - Artificial intelligence
KW - Chatbots
KW - Design education
UR - https://www.scopus.com/pages/publications/85196778228
U2 - 10.1007/978-981-97-1313-4_33
DO - 10.1007/978-981-97-1313-4_33
M3 - Conference contribution
AN - SCOPUS:85196778228
SN - 9789819713127
T3 - Lecture Notes in Networks and Systems
SP - 377
EP - 395
BT - Smart Trends in Computing and Communications - Proceedings of SmartCom 2024
A2 - Senjyu, Tomonobu
A2 - So–In, Chakchai
A2 - Joshi, Amit
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Conference on Smart Trends in Computing and Communications, SmartCom 2024
Y2 - 12 January 2024 through 13 January 2024
ER -