AI Tools to Synthesize Characteristics of Public Spaces: A case study for Jersey City

Document Type

Conference Proceeding

Publication Date

1-1-2023

Abstract

This paper investigates how artificial intelligence (AI) tools can be used in the early design phase of public space to synthesize qualitative information such as cultural differences and individual perception into a common understanding of qualities of a public space. In that way AI tools can be used to synthesize emotional responses citizens may have to urban spaces as a form of feedback during the design process. To do that the investigation leverages AI tools' text-guided image-to-image translation techniques, their capacity to assess the association between images and texts and the premise for synthesizing a common understanding of characteristics and qualities of public spaces.

Identifier

85171835433 (Scopus)

ISBN

[9789491207341]

Publication Title

Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe

External Full Text Location

https://doi.org/10.52842/conf.ecaade.2023.1.831

ISSN

26841843

First Page

831

Last Page

838

Volume

1

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