Proposal for the Use of a Passive BCI to Develop a Neurophysiological Inference Model of IS Constructs
Proposal for the Use of a Passive BCI to Develop a Neurophysiological Inference Model of IS Constructs
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使用被动 BCI 开发 IS 结构的神经生理学推理模型的提案
DOI：
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发表时间：
2015
期刊：
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通讯作者：
M. Fredette
中科院分区：
文献类型：
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作者：
Adriane B. Randolph;Élise Labonté;Pierre;F. Courtemanche;S. Sénécal;M. Fredette
在信息系统（IS）领域的结构的测量通常是使用回顾性或侵入性的心理测量工具，可能会受到偏见。使用被动式脑机接口（BCI）来实时连续测量这些结构，而不会打断参与者，这将是IS研究人员工具箱的一个很好的补充。虽然脑机接口的开发已在其他地方进行了探索，但我们在这里提出了一个使用被动脑机接口来开发IS结构的神经生理推理模型的特定框架。
The measurement of constructs in the field of information systems (IS) is often performed with the use of retrospective or intrusive psychometric tools that may be subject to biases. Using a passive brain–computer interface (BCI) to measure these constructs continuously in real-time without interrupting the participants would be a great addition to the toolbox of IS researchers. While the development of BCIs has been explored elsewhere, we present here a specific framework using passive BCIs to develop a neurophysiological inference model of IS constructs.