AI-enhanced conversational design processes: A systematic review

AI technologies have been widely explored in the architectural design process over the last decade. This paper addresses the limitations of the existing reviews on AI applications in the architectural design process, including a lack of focus on the design process, limited coverage of AI technologies, and under-exploration of human-AI interaction environments. The paper systematically reviews and comparatively analyses 63 articles filtered through 1138 publications from 8 databases. The findings include comparative analysis charts and tables of the different AI-enhanced design processes, the human-AI interaction environment, as well as their evaluation. They highlight the expectation that AI will function as a conversational design partner. Lastly, the paper presents a novel framework for the AI-enhanced conversational architectural design process.

Authors

Institutions

Publication Details

Journal
International Journal of Architectural Computing
Published
2026-02-12
DOI
https://doi.org/10.1177/14780771261425268
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-enhanced conversational design processes: A systematic review

Juan Carlos Dall’Asta, Giancarlo Di Marco, Asterios Agkathidis, Lok Hang Cheung
International Journal of Architectural Computing
Architecture and Computational Design
article

AI-enhanced conversational design processes: A systematic review

Juan Carlos Dall’Asta, Giancarlo Di Marco, Asterios Agkathidis, Lok Hang Cheung
article en

Abstract

AI technologies have been widely explored in the architectural design process over the last decade. This paper addresses the limitations of the existing reviews on AI applications in the architectural design process, including a lack of focus on the design process, limited coverage of AI technologies, and under-exploration of human-AI interaction environments. The paper systematically reviews and comparatively analyses 63 articles filtered through 1138 publications from 8 databases. The findings include comparative analysis charts and tables of the different AI-enhanced design processes, the human-AI interaction environment, as well as their evaluation. They highlight the expectation that AI will function as a conversational design partner. Lastly, the paper presents a novel framework for the AI-enhanced conversational architectural design process.

International Journal of Architectural Computing
University of Liverpool (GB), Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 60%
Architecture and Computational Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.