Ceci N'est Pas un Drone: Investigating the Impact of Design Representation on Design Decision Making When Using GenAI

Fuente: arXiv
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Autores principales: Xu, Zeda, Martelaro, Nikolas, McComb, Christopher
Formato: Preprint
Publicado: 2025
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author Xu, Zeda
Martelaro, Nikolas
McComb, Christopher
author_facet Xu, Zeda
Martelaro, Nikolas
McComb, Christopher
contents With generative AI-powered design tools, designers and engineers can efficiently generate large numbers of design ideas. However, efficient exploration of these ideas requires designers to select a smaller group of potential solutions for further development. Therefore, the ability to judge and evaluate designs is critical for the successful use of generative design tools. Different design representation modalities can potentially affect designers' judgments. This work investigates how different design modalities, including visual rendering, numerical performance data, and a combination of both, affect designers' design selections from AI-generated design concepts for Uncrewed Aerial Vehicles. We found that different design modalities do affect designers' choices. Unexpectedly, we found that providing only numerical design performance data can lead to the best ability to select optimal designs. We also found that participants prefer visually conventional designs with axis-symmetry. The findings of this work provide insights into the interaction between human users and generative design systems.
format Preprint
id arxiv_https___arxiv_org_abs_2511_03131
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Ceci N'est Pas un Drone: Investigating the Impact of Design Representation on Design Decision Making When Using GenAI
Xu, Zeda
Martelaro, Nikolas
McComb, Christopher
Human-Computer Interaction
With generative AI-powered design tools, designers and engineers can efficiently generate large numbers of design ideas. However, efficient exploration of these ideas requires designers to select a smaller group of potential solutions for further development. Therefore, the ability to judge and evaluate designs is critical for the successful use of generative design tools. Different design representation modalities can potentially affect designers' judgments. This work investigates how different design modalities, including visual rendering, numerical performance data, and a combination of both, affect designers' design selections from AI-generated design concepts for Uncrewed Aerial Vehicles. We found that different design modalities do affect designers' choices. Unexpectedly, we found that providing only numerical design performance data can lead to the best ability to select optimal designs. We also found that participants prefer visually conventional designs with axis-symmetry. The findings of this work provide insights into the interaction between human users and generative design systems.
title Ceci N'est Pas un Drone: Investigating the Impact of Design Representation on Design Decision Making When Using GenAI
topic Human-Computer Interaction
url https://arxiv.org/abs/2511.03131