The Impact of Generative AI on Architectural Conceptual Design: Performance, Creative Self-Efficacy and Cognitive Load
By: Han Jiang, Yao Xiao, Rachel Hurley, Shichao Liu
Published: 2026-01-16
View on arXiv →#cs.AI
Abstract
This research investigates the multifaceted impact of generative AI tools on the early stages of architectural design. It examines how these AI systems influence designers' performance, their creative self-efficacy, and the cognitive load experienced during conceptualization. Findings highlight opportunities for enhanced design exploration and efficiency, alongside challenges related to cognitive overload and the shifting role of human creativity in AI-augmented design workflows.