通过格式塔理论分析废物回收的视觉信息(颜色、符号):封闭、相似和延续

Zhi Jie Xie, Hwee Ling Siek, Ying Wang, Shi Yuan Wang, Kay Hooi Keoy
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引用次数: 0

摘要

本研究基于格式塔理论的封闭性、相似性和延续性三大原则,对垃圾分类的视觉信息(颜色、符号)进行了深入研究。通过对中国厦门大学城的实地调查和对该地区 1000 名本地和国际大学生的调查,了解他们对垃圾回收和分类视觉信息的认知水平。研究发现,目前厦门大学城区和学生对视觉分类信息(颜色、符号)的认知水平较低。视觉信息必须传达准确和标准化的信息,如颜色和符号。此外,本研究的目的还在于说明视觉信息准确性的必要性。本研究得出结论,需要根据格式塔理论为废物回收和分类制定统一的颜色和符号标准,以帮助实现可持续发展目标 12,即负责任的消费和生产,因为本研究强调了对未来利益相关者的潜在连锁反应,特别是考虑到大学生的国际流动性,他们是全球多样性的缩影。随着用户在各国旅行,有关废物分类的模糊视觉信息成为响应联合国倡导可持续未来的一个关键问题。解决和纠正这些视觉差异对于在全球范围内实施有效的废物管理战略至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing Visual Information (Colour, Symbol) of Waste Recycling Through the Principles of Gestalt Theory: Closure, Similarity and Continuation
This study provides an insight into the visual information (colours, symbols) of waste classification based on the three principles of closure, similarity and continuation of Gestalt theory. A field survey of Xiamen University Town in China and a survey of 1,000 local and international university students in the area were used to understand the level of awareness of visual information on waste recycling and segregation. The study found that the current level of awareness of visual classification information (colours, symbols) in the Xiamen University Town urban area and among students is low. Visual messages must convey accurate and standardised information such as colours and symbols. In addition, the purpose of this study was to illustrate the need for accuracy in visual information. This study concludes the need for uniform colour and symbol standards for waste recycling and segregation under the Gestalt theory to help achieve SDG goal 12, responsible consumption and production, as this study highlights the potential ripple effect on future stakeholders, especially considering the international mobility of university students, who epitomise global diversity. As users travelled across countries, ambiguous visual messages about waste classification became a key issue in responding to UN advocacy for a sustainable future. Addressing and correcting these visual discrepancies is critical to effective waste management strategies on a global scale.
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