AdvMOB:基于城市数字孪生技术的广告牌广告曝光分析交互式视觉分析系统

IF 8 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Qing Yu , Defan Feng , Ge Li , Qi Chen , Haoran Zhang
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引用次数: 0

摘要

数字户外广告牌已成为吸引消费者的强大营销工具。然而,该行业也面临着各种挑战,尤其是在准确衡量曝光率和了解消费者人口统计数据方面。当前的广告投放模式往往忽视广告效果,过度简化广告影响,导致决策与实际影响之间存在巨大差距。为了解决这些问题,本研究引入了一个创新的交互式视觉分析系统 AdvMOB,旨在评估和检查城市景观中的广告牌曝光率,并巧妙地划定每个广告的真正覆盖范围。该系统整合了个人信息和轨迹数据,以描述单个广告牌的真实影响。通过融合城市建筑洞察力和人类移动数据,该系统通过直观的界面对城市环境中广告牌的曝光深度进行全面评估、比较和深入研究。通过提供细致入微的洞察力和全面的支持,拟议的 AdvMOB 系统在彻底改变广告牌广告设计方面展示了巨大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AdvMOB: Interactive visual analytic system of billboard advertising exposure analysis based on urban digital twin technique
Digital outdoor billboards have emerged as powerful marketing tools for engaging consumers. However, the industry grapples with challenges, notably in accurately gauging exposure and understanding consumer demographics. Current ad placement models often overlook ad effectiveness and oversimplify advertising influence, resulting in a significant disparity between decision-making and real-world impact. To tackle these hurdles, this study introduces an innovative interactive visual analytic system, AdvMOB, designed to evaluate and scrutinize billboard exposure within urban landscapes and adeptly delineate the genuine reach of each advertisement. It integrates personal information and trajectory data to characterize the authentic impact of individual billboards. Through the fusion of urban architectural insights, and human mobility data, this system comprehensively evaluates, compares, and delves into the depth of billboard exposure in urban settings via an intuitive interface. The proposed AdvMOB system demonstrates substantial potential in revolutionizing the design of billboard advertisements by offering nuanced insights and comprehensive support.
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来源期刊
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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