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基于数字孪生的区域缩影——区域怀旧设计

Epitome of the Region-Regional Nostalgia Design Based on Digital Twins.

作者信息

Chen Liling, Song Yicong, Niu Xiaojing, Luan Xin, Yang Liu, Qin Shengfeng

机构信息

School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.

Smart Design Lab, School of Design, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.

出版信息

Behav Sci (Basel). 2024 Dec 27;15(1):12. doi: 10.3390/bs15010012.

Abstract

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.

摘要

怀旧场景在很大程度上能够引发怀旧情绪,并且可以有效地用作怀旧触发因素,有助于老年人和移民群体的心理舒适,但尚未对其设计系统进行充分研究。因此,本研究提出了怀旧场景的设计原则和数字孪生(DT)设计系统。它侧重于基于系统之系统(SoS)理论构建怀旧场景DT模型。选取了与农事相关的怀旧场景,并从特定角度生成该DT模型的照片用于展示。共现分析用于验证场景中各元素之间的相关性。我们邀请了西安的两组居民,即本地组和非本地组,共68人作为参与者,用李克特量表对三张设计程度不同的照片进行评分。数据分析结果表明,融入相关元素的系统且构图良好的怀旧场景图像比没有上述元素的图像更有可能唤起参与者的怀旧情绪。同样,一系列跨越不同时期的怀旧场景图像比单张图像更能有效地激发参与者的怀旧情绪。此外,与具有相似生活方式的参与者产生共鸣的特定区域怀旧场景图像能够更有效地触发他们的怀旧情感。怀旧场景的数字孪生模型包含多源数据,可以动态可视化以呈现区域怀旧体验。该设计系统可用于设计怀旧场景,以改善情绪健康、社会联系、旅游业以及城乡可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa08/11762173/f3905cd083e1/behavsci-15-00012-g001.jpg

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