@article{627a291cf69c4481b10765610d2afd2a,
title = "Human-level design proposals by an artificial agent in multiple scenarios",
abstract = "Many computational tools are usually trained using human-curated data set of design proposals. However, this approach can limit system capabilities to generate creative designs since human knowledge of the solution space is already embedded in the training process. In this paper, we show how by using a flexible design tool that can also be used by humans, an artificial agent can learn to generate creative designs with any prior knowledge of the solution space. Our results show how our agent is able to create human-level design proposals in terms of performance and novelty. Based on these results, we discuss the importance of defining a shared design language and tools in order to support human-AI collaboration in creative scenarios.",
keywords = "computer-aided design, creative design, creativity, design tools, human-ai collaboration",
author = "Gerard Serra and David Miralles",
note = "Funding Information: We thank our research group and the volunteers of our test. We specially thank Dr. Haemy Lee Masson for her assistance on statistic analysis and Xavier Roma and Gabriel Cammany for their collaboration during the creation of the online test. This work has been partially funded with the support of the European Social Fund and the Secretaria d{\textquoteright}Universitats i Recerca del Departament d{\textquoteright}Economia i Coneixement of the Catalan Government for the pre-doctoral FI grant No. 2019 FI_BI 00171 . Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",
year = "2021",
month = sep,
doi = "10.1016/j.destud.2021.101029",
language = "English",
volume = "76",
journal = "Design Studies",
issn = "0142-694X",
publisher = "Elsevier Ltd.",
}