Epitome of the Region—Regional Nostalgia Design Based on Digital Twins
Nostalgic scenes can trigger nostalgia to a considerable extent and can be effectively used as a nostalgic trigger that contributes to the psychological comfort of the elderly and immigrant populations, but a design system has not been adequately studied. Therefore, the design principles and digital...
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2024-12-01
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author | Liling Chen Yicong Song Xiaojing Niu Xin Luan Liu Yang Shengfeng Qin |
author_facet | Liling Chen Yicong Song Xiaojing Niu Xin Luan Liu Yang Shengfeng Qin |
author_sort | Liling Chen |
collection | DOAJ |
description | Nostalgic scenes can trigger nostalgia to a considerable extent and can be effectively used as a nostalgic trigger that contributes to the psychological comfort of the elderly and immigrant populations, but a design system has not been adequately studied. Therefore, the design principles and digital twin (DT) design system of nostalgic scenes is proposed in this study. It focuses on the construction of a nostalgic scene DT model based on the system of system (SoS) theory. Nostalgic scenes related to farm work are selected and photos of this DT model from a particular perspective are generated for presentation. Co-occurrence analysis is used to verify the correlation between elements within the scene. We invited two groups of residents in Xi’an, the regional group and the non-regional group, a total of 68 people, as participants to rate three photos with different degrees of design on the Likert scale. The results of data analysis show that systematic and well-composed nostalgic scene images, which incorporate relevant elements, are more likely to evoke participants’ nostalgic emotions than ones without those elements mentioned above. Likewise, a series of nostalgic scene images spanning various periods can stimulate participants’ nostalgic emotions more effectively than a single image. Furthermore, region-specific nostalgic scene images that resonate with participants sharing similar lifestyles can trigger their nostalgic feelings more effectively. The digital twin model of the nostalgia scene contains multi-source data, which can be dynamically visualised to represent regional nostalgic experiences. The design system can be used to design nostalgic scenes to improve emotional health, social bonding, tourism, and sustainable urban and rural development. |
format | Article |
id | doaj-art-08291f947f164ccdb330297063751af4 |
institution | Kabale University |
issn | 2076-328X |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
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series | Behavioral Sciences |
spelling | doaj-art-08291f947f164ccdb330297063751af42025-01-24T13:22:37ZengMDPI AGBehavioral Sciences2076-328X2024-12-011511210.3390/bs15010012Epitome of the Region—Regional Nostalgia Design Based on Digital TwinsLiling Chen0Yicong Song1Xiaojing Niu2Xin Luan3Liu Yang4Shengfeng Qin5School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaSmart Design Lab, School of Design, Northumbria University, Newcastle upon Tyne NE1 8ST, UKNostalgic scenes can trigger nostalgia to a considerable extent and can be effectively used as a nostalgic trigger that contributes to the psychological comfort of the elderly and immigrant populations, but a design system has not been adequately studied. Therefore, the design principles and digital twin (DT) design system of nostalgic scenes is proposed in this study. It focuses on the construction of a nostalgic scene DT model based on the system of system (SoS) theory. Nostalgic scenes related to farm work are selected and photos of this DT model from a particular perspective are generated for presentation. Co-occurrence analysis is used to verify the correlation between elements within the scene. We invited two groups of residents in Xi’an, the regional group and the non-regional group, a total of 68 people, as participants to rate three photos with different degrees of design on the Likert scale. The results of data analysis show that systematic and well-composed nostalgic scene images, which incorporate relevant elements, are more likely to evoke participants’ nostalgic emotions than ones without those elements mentioned above. Likewise, a series of nostalgic scene images spanning various periods can stimulate participants’ nostalgic emotions more effectively than a single image. Furthermore, region-specific nostalgic scene images that resonate with participants sharing similar lifestyles can trigger their nostalgic feelings more effectively. The digital twin model of the nostalgia scene contains multi-source data, which can be dynamically visualised to represent regional nostalgic experiences. The design system can be used to design nostalgic scenes to improve emotional health, social bonding, tourism, and sustainable urban and rural development.https://www.mdpi.com/2076-328X/15/1/12nostalgia designdigital twinregional public memoriesscene modeldesign for emotional wellbeing |
spellingShingle | Liling Chen Yicong Song Xiaojing Niu Xin Luan Liu Yang Shengfeng Qin Epitome of the Region—Regional Nostalgia Design Based on Digital Twins Behavioral Sciences nostalgia design digital twin regional public memories scene model design for emotional wellbeing |
title | Epitome of the Region—Regional Nostalgia Design Based on Digital Twins |
title_full | Epitome of the Region—Regional Nostalgia Design Based on Digital Twins |
title_fullStr | Epitome of the Region—Regional Nostalgia Design Based on Digital Twins |
title_full_unstemmed | Epitome of the Region—Regional Nostalgia Design Based on Digital Twins |
title_short | Epitome of the Region—Regional Nostalgia Design Based on Digital Twins |
title_sort | epitome of the region regional nostalgia design based on digital twins |
topic | nostalgia design digital twin regional public memories scene model design for emotional wellbeing |
url | https://www.mdpi.com/2076-328X/15/1/12 |
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