神经信息系统研究：定位、方法和展望*

A Review of Research on Neuroscience Information Systems: Orientation, Methods, and Prospect

摘要:

近些年，认知神经科学的研究方法有效弥补了传统信息系统（IS）研究存在的不足，降低了传统研究自我报告方法的测量误差，客观并准确地测量用户决策的心理加工过程，推进了信息系统科学研究的发展。通过介绍信息系统研究领域的国际前沿——神经信息系统研究（NeuroIS），力图帮助IS研究者更好地了解NeuroIS国内外研究现状，洞察进入NeuroIS这一前沿领域所需的相关知识和技术基础。通过收集并阅读NeuroIS自提出以来至今的文献，回顾并总结其发展历程、学科定位、常用研究工具和研究问题，论述NeuroIS研究应该明确的定位和工具选择的方法，并对现有文献的研究主题进行梳理，最后提出NeuroIS未来研究的实用性建议。

Abstract:

Research methods of cognitive neuroscience make up the shortcomings of the traditional information systems (IS) research, reduce the measurement error of self-report, accurately reveal the psychological process of user's decision making, and have promoted the development of scientific research on information systems. This paper intends to introduce Neuroscience Information Systems (NeuroIS) research which is the international frontier of information systems research, help IS scholars better understand research status of NeuroIS and get insight into the related necessary knowledge and technical basis of the NeuroIS frontier research areas. We review and summarize the development phases, disciplinary orientation, common research tools and research questions of NeuroIS by collecting and looking through related literature after the proposal of NeuroIS. We point out the specified orientation and ways to choose proper methods of NeuroIS research, classify the research topics of existing literatures and put forward some practical suggestions for future research.