Application of visual elements in product paper packaging design: An example of the “squirrel” pattern

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent Systems Pub Date : 2022-01-01 DOI:10.1515/jisys-2021-0195
Menghan Ding
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引用次数: 3

Abstract

Abstract For product packaging, the visual elements in it can further enhance the appeal of the package to customers. This article briefly introduces visual elements and packaging design and made an example analysis with the gift packaging design of Squirrel Design Studio. In the case study, the packaging design of the studio’s mirror, storage bag, and puzzle was rated by hierarchical analysis and questionnaires, and the packaging design was analyzed based on the rating results. A convolutional neural network (CNN) was also used to evaluate packages in batches. The results showed that the CNN could make a batch evaluation of gift packaging design accurately; the three gift packaging designs were based on the studio’s logo, making the ratings similar; in addition, the packaging design patterns were composed of different geometric shapes to show the studio’s innovative design theme, and the squirrel silhouette and text description were used to strengthen the impression of the studio among customers.
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视觉元素在产品纸包装设计中的应用:以“松鼠”图案为例
对于产品包装来说,视觉元素可以进一步增强包装对顾客的吸引力。本文简要介绍了视觉元素和包装设计,并以松鼠设计工作室的礼品包装设计为例进行了分析。在案例研究中,采用层次分析法和问卷调查法对工作室的镜子、收纳袋、拼图的包装设计进行打分,并根据打分结果对包装设计进行分析。卷积神经网络(CNN)也被用于批量评估包裹。结果表明,CNN能够准确地对礼品包装设计进行批量评价;这三种礼品包装设计都是基于工作室的标志,使得评级相似;此外,包装设计图案由不同的几何形状组成,以展示工作室的创新设计主题,并使用松鼠剪影和文字描述来加强客户对工作室的印象。
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来源期刊
Journal of Intelligent Systems
Journal of Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
5.90
自引率
3.30%
发文量
77
审稿时长
51 weeks
期刊介绍: The Journal of Intelligent Systems aims to provide research and review papers, as well as Brief Communications at an interdisciplinary level, with the field of intelligent systems providing the focal point. This field includes areas like artificial intelligence, models and computational theories of human cognition, perception and motivation; brain models, artificial neural nets and neural computing. It covers contributions from the social, human and computer sciences to the analysis and application of information technology.
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