基于脑电图的神经营销系统综述:最新趋势和分析技术。

Q1 Computer Science
Md Fazlul Karim Khondakar, Md Hasib Sarowar, Mehdi Hasan Chowdhury, Sumit Majumder, Md Azad Hossain, M Ali Akber Dewan, Quazi Delwar Hossain
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引用次数: 0

摘要

神经营销是一个新兴的研究领域,旨在了解消费者在选择购买何种产品时的决策过程。企业希望通过了解什么会给消费者留下积极或消极的印象来改进其营销策略,因此对这些信息非常感兴趣。它有可能彻底改变营销行业,使企业能够提供引人入胜的体验,创造更有效的广告,避免错误的营销策略,并最终为企业节省数百万美元。因此,要掌握这一重要领域的研究现状,就必须有良好的文献资料。在本文中,我们将对基于脑电图的神经营销进行系统回顾。我们旨在阐明该领域的研究趋势、技术范围和潜在机遇。我们从有效数据库中查阅了近期发表的论文,并将神经营销领域的热门研究课题分为五组,以呈现该领域当前的研究趋势。我们还讨论了在做出购买决策时被激活的大脑区域及其与神经营销应用的相关性。文章适当举例说明了能从消费者头脑中获得真实印象的营销刺激、用于处理和分析记录的大脑数据的技术,以及当前用于解释数据的策略。最后,我们向未来的研究人员提出建议,帮助他们在未来更有效地研究这一领域的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques.

Neuromarketing is an emerging research field that aims to understand consumers' decision-making processes when choosing which product to buy. This information is highly sought after by businesses looking to improve their marketing strategies by understanding what leaves a positive or negative impression on consumers. It has the potential to revolutionize the marketing industry by enabling companies to offer engaging experiences, create more effective advertisements, avoid the wrong marketing strategies, and ultimately save millions of dollars for businesses. Therefore, good documentation is necessary to capture the current research situation in this vital sector. In this article, we present a systematic review of EEG-based Neuromarketing. We aim to shed light on the research trends, technical scopes, and potential opportunities in this field. We reviewed recent publications from valid databases and divided the popular research topics in Neuromarketing into five clusters to present the current research trend in this field. We also discuss the brain regions that are activated when making purchase decisions and their relevance to Neuromarketing applications. The article provides appropriate illustrations of marketing stimuli that can elicit authentic impressions from consumers' minds, the techniques used to process and analyze recorded brain data, and the current strategies employed to interpret the data. Finally, we offer recommendations to upcoming researchers to help them investigate the possibilities in this area more efficiently in the future.

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来源期刊
Brain Informatics
Brain Informatics Computer Science-Computer Science Applications
CiteScore
9.50
自引率
0.00%
发文量
27
审稿时长
13 weeks
期刊介绍: Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
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