| id |
sigradi2023_65 |
| authors |
Cheung, Lok Hang, Dall'Asta, Juan Carlos and Di Marco, Giancarlo |
| year |
2023 |
| title |
Exploring Large Language Model as a Design Partner through Verbal and Non-verbal Conversation in Architectural Design Process |
| source |
García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1059–1070 |
| summary |
This paper proposes a framework for applying Large Language Models (LLM) as a design partner in architectural design processes instead of a passive question-answering machine. The proposed design framework integrates LLM and Conversation Theory (CT) into a standard parametric design tool for architectural designers. The program establishes an ongoing conversation with the designer through verbal and non-verbal feedback by tracking brain activity and modelling commands. The program can collect conversation data for fine-tuning, thus progressively improving conversation effectiveness. The paper contributes to the knowledge area of architectural design by introducing a novel approach to integrating LLM and CT into the design process, simulated as a proof-of-concept pilot study within a commonly used design software. |
| keywords |
Large Language Model, Human-Computer Interaction, Conversation Theory, Architectural Design Process |
| series |
SIGraDi |
| email |
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| full text |
 file.pdf (511,077 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/03/08 14:08 |
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