基于视觉思维的科普类信息图表设计研究  

Research on the Design of Popular Science Information Charts Based on Visual Thinking

作　　者：章砚文 ZHANG Yanwen(Jiangsu Second Normal University,Nanjing Jiangsu,210000,China)

机构地区：[1]江苏第二师范学院,江苏南京210000

出　　处：《文化创新比较研究》2024年第32期53-58,共6页Comparative Study of Cultural Innovation

摘　　要：在科技的飞速发展的背景下,我们进入了一个数字化、信息化的时代。面对泡沫化、同质化与碎片化的信息泛滥,使用信息图表设计手段将信息进行视觉呈现和集中表达逐渐成为新的趋势。科普类信息图表设计具有跨越语言障碍、打破知识壁垒、精简关键内容、突破传播速率等优势,从而越来越受到人们的青睐。然而,该文通过案例分析与社会调研,发现科普类信息图表设计普遍存在着视觉焦点不够突出、信息内容冗余繁杂、视觉设计审美欠佳等问题。由此,该文融入视觉思维理论,探索以视觉思维为切入点的科普类信息图表设计原则与设计方法,探究具有针对性的优化策略,以期提升科普类信息图表设计作品的审美价值与传播效率,更好地帮助社会大众通过使用与浏览科普类信息图表,省时高效地获取资源信息,从而为提升全民科学文化素质添砖加瓦。With the rapid development of technology,we have entered an era of digitization and informatization.In the face of foam,homogenization and fragmentation of information flooding,the use of information chart design means to visually present and centrally express information has gradually become a new trend.The design of popular science information charts has advantages such as overcoming language barriers,breaking down knowledge barriers,streamlining key content,and breaking through dissemination rates,making it increasingly popular among people.However,through case analysis and social research,we found that the design of popular science information charts generally has problems such as insufficient visual focus,redundant and complex information content,and poor visual design aesthetics.Therefore,we propose to integrate visual thinking theory,explore the design principles and methods of popular science information charts with visual thinking as the starting point,and explore targeted optimization strategies in order to enhance the aesthetic value and dissemination efficiency of popular science information chart design works,better help the public to obtain resource information in a time-saving and efficient manner through the use and browsing of popular science information charts,and thus contribute to improving the scientific and cultural literacy of the whole nation.

关 键 词：视觉思维 信息图表设计 科普类 设计原则 设计方法 优化研究 

分 类 号：J524[艺术—艺术设计]