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信息行为领域中脑电技术的应用与展望
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Abstract:
[目的/意义]揭示目前在信息行为领域中脑电技术的应用现状，拓展学科边界，为信息行为领域的脑电技术应用提供思路。[研究设计/方法]本研究系统梳理了Google学术建库至今信息行为领域中应用脑电技术的65篇实证研究，分析、整理其在信息行为领域的应用现状，并揭示其对信息行为发展的作用。[结论/发现]本研究从65篇文献编码结果发现，近年来，信息行为领域中脑电技术的应用研究的文献显著增加，有三个研究重点，一是探讨界面信息布局对用户认知负荷和搜索效率的影响；二是关于信息安全领域的认知行为；三是人类决策过程中的从众机制。[创新/价值]展望了信息行为领域中脑电技术的应用前景，并讨论了信息行为领域应用认知神经科学工具未来的发展方向及面临的挑战，为信息行为领域中脑电技术的进一步应用提供参考。
[Purpose/Significance] To reveal the current application status of EEG technology in the field of information behavior, expand the discipline boundary, and provide ideas for the application of EEG technology in the field of information behavior. [Design/Methodology] This study systematically sorted out 65 empirical studies on the application of EEG technology in the field of information behavior of Google, analyzed and sorted out its application status in the field of information behavior, and revealed its role in the development of information behavior. [Findings/Conclusion] According to 65 articles, in recent years, the application of EEG technology in the field of information behavior has increased significantly, with three research points, firstly, the impact of interface information layout on cognitive load and search efficiency; the second is the cognitive behavior in the field of information security; the last one is the conformity mechanism in human decision-making process. [Originality/Value] This paper discusses the application prospect of EEG technology in the field of information behavior, and discusses the future development direction and challenges of cognitive neuroscience tools in the field of information behavior, which provides a reference for the further application of EEG technology in the field of information behavior.
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