Designer Robots: An early look at applications for Artificial Intelligence Visualization Software in Landscape Architecture

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dc.contributor.advisorAmoroso, Nadia
dc.contributor.authorLi, Marika
dc.date.accessioned2023-05-12T15:51:25Z
dc.date.available2023-05-12T15:51:25Z
dc.date.copyright2023-04
dc.date.created2023-04-12
dc.degree.departmentSchool of Environmental Design and Rural Developmenten_US
dc.degree.grantorUniversity of Guelphen
dc.degree.nameMaster of Landscape Architectureen_US
dc.degree.programmeLandscape Architectureen_US
dc.description.abstractDue to rapid technological changes, artificial intelligence (AI) driven graphic software appears to be the next frontier in creating digital imagery, though little is known on the potential of artificial intelligence for rendering landscape architecture graphics. The objective of this study is to determine the effectiveness and efficiencies of current Adobe-based rendering techniques, compared with the two major types of AI visualization software (sketch-based and text-based). Professionals were surveyed and asked to evaluate images of similar landscape scenes produced with either traditional methods or AI software. Then, a design experiment with a human-AI hybrid approach was carried out. This study determined that while AI-based software cannot truly replace visualization methods currently used in education and practice, early adoption has already begun and may profoundly affect the design process.en_US
dc.identifier.urihttps://hdl.handle.net/10214/27565
dc.language.isoenen_US
dc.publisherUniversity of Guelphen
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectDigital designen_US
dc.subjectVisual communicationsen_US
dc.subjectText-to-imageen_US
dc.subjectSegmentation mapen_US
dc.subjectDALL-E 2en_US
dc.subjectNVIDIAen_US
dc.subjectAIen_US
dc.subjectVisualization softwareen_US
dc.titleDesigner Robots: An early look at applications for Artificial Intelligence Visualization Software in Landscape Architectureen_US
dc.typeThesisen
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