AI-Based Environmental Color System in Achieving Sustainable Urban Development

Confronting the age of artificial intelligence, exploring art through technology has become one of the directions of interdisciplinary development. Not only does artificial intelligence technology explore sustainability on a technical level; it can also take advantage of itself to focus on the visua...

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Main Authors: Pohsun Wang, Wu Song, Junling Zhou, Yongsheng Tan, Hongkong Wang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Systems
Subjects:
Online Access:https://www.mdpi.com/2079-8954/11/3/135
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author Pohsun Wang
Wu Song
Junling Zhou
Yongsheng Tan
Hongkong Wang
author_facet Pohsun Wang
Wu Song
Junling Zhou
Yongsheng Tan
Hongkong Wang
author_sort Pohsun Wang
collection DOAJ
description Confronting the age of artificial intelligence, exploring art through technology has become one of the directions of interdisciplinary development. Not only does artificial intelligence technology explore sustainability on a technical level; it can also take advantage of itself to focus on the visual perception of the living environment. People frequently interpret environmental features through their eyes, and the use of intuitive eye-tracking can provide effective data that can contribute to environmental sustainability in managing the environment and color planning to enhance the image of cities. This research investigates the visual responses of people viewing the historic city of Macau through an eye movement experiment to understand how the color characteristics of the physical environment are perceived. The research reveals that the buildings and plantings in the historic district of Macau are the most visible objects in the environment, while the smaller scale of St. Dominic’s Square, the Company of Jesus Square, and St. Augustine’s Square, which have a sense of spatial extension, have also become iconic environmental landscapes. This also draws visual attention and guides the direction of travel. The overall impressions of the Historic Centre of Macau, as expressed by the participants after the eye movement experiment, were mainly described as “multiculturalism”, “architectural style”, “traditional architecture”, “color scheme”, and “garden planting”. The 60 colors representing the urban color of Macau are then organized around these deep feelings about the environment. Therefore, for future inspiration, the 60 colors can be applied through design practice to create color expressions that fit the local characteristics, and thereby enhance the overall visual image of the city.
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spelling doaj.art-00201b7a7b7b49179f0a3742226b29372023-11-17T14:11:12ZengMDPI AGSystems2079-89542023-03-0111313510.3390/systems11030135AI-Based Environmental Color System in Achieving Sustainable Urban DevelopmentPohsun Wang0Wu Song1Junling Zhou2Yongsheng Tan3Hongkong Wang4Faculty of Innovation and Design, City University of Macau, Macau 999078, ChinaFaculty of Innovation and Design, City University of Macau, Macau 999078, ChinaFaculty of Innovation and Design, City University of Macau, Macau 999078, ChinaCollege of Fine Arts, Huaqiao University, Quanzhou 362021, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Quanzhou 362021, ChinaConfronting the age of artificial intelligence, exploring art through technology has become one of the directions of interdisciplinary development. Not only does artificial intelligence technology explore sustainability on a technical level; it can also take advantage of itself to focus on the visual perception of the living environment. People frequently interpret environmental features through their eyes, and the use of intuitive eye-tracking can provide effective data that can contribute to environmental sustainability in managing the environment and color planning to enhance the image of cities. This research investigates the visual responses of people viewing the historic city of Macau through an eye movement experiment to understand how the color characteristics of the physical environment are perceived. The research reveals that the buildings and plantings in the historic district of Macau are the most visible objects in the environment, while the smaller scale of St. Dominic’s Square, the Company of Jesus Square, and St. Augustine’s Square, which have a sense of spatial extension, have also become iconic environmental landscapes. This also draws visual attention and guides the direction of travel. The overall impressions of the Historic Centre of Macau, as expressed by the participants after the eye movement experiment, were mainly described as “multiculturalism”, “architectural style”, “traditional architecture”, “color scheme”, and “garden planting”. The 60 colors representing the urban color of Macau are then organized around these deep feelings about the environment. Therefore, for future inspiration, the 60 colors can be applied through design practice to create color expressions that fit the local characteristics, and thereby enhance the overall visual image of the city.https://www.mdpi.com/2079-8954/11/3/135historic centre of Macauenvironmental coloreye movement experimentvisual focusartificial intelligence
spellingShingle Pohsun Wang
Wu Song
Junling Zhou
Yongsheng Tan
Hongkong Wang
AI-Based Environmental Color System in Achieving Sustainable Urban Development
Systems
historic centre of Macau
environmental color
eye movement experiment
visual focus
artificial intelligence
title AI-Based Environmental Color System in Achieving Sustainable Urban Development
title_full AI-Based Environmental Color System in Achieving Sustainable Urban Development
title_fullStr AI-Based Environmental Color System in Achieving Sustainable Urban Development
title_full_unstemmed AI-Based Environmental Color System in Achieving Sustainable Urban Development
title_short AI-Based Environmental Color System in Achieving Sustainable Urban Development
title_sort ai based environmental color system in achieving sustainable urban development
topic historic centre of Macau
environmental color
eye movement experiment
visual focus
artificial intelligence
url https://www.mdpi.com/2079-8954/11/3/135
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