A Decade of NeuroIS Research: Status Quo, Challenges, and Future Directions
A Decade of NeuroIS Research: Status Quo, Challenges, and Future Directions
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NeuroIS 研究十年：现状、挑战和未来方向
DOI：
10.1007/978-3-030-28144-1_26
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Pierre
中科院分区：
文献类型：
--
作者：
R. Riedl;Thomas Fischer;Pierre
认知负荷作为一个可以使用neuroIS工具进行更丰富探索的领域，已经得到了越来越多的关注。本研究采用脑电描记和眼动追踪技术对生物化学学习者的认知负荷进行了研究。除了利用波普参与指数和眼动追踪分析技术，我们还寻求更好地了解各种个体特征与认知负荷水平之间的关系。虽然这项研究的重点是一个特定的STEM学生群体，因为他们操纵各种学习模型，它对人机交互和其他学习环境的进一步研究有影响。
Cognitive load has received increased focus as an area that can be more richly explored using neuroIS tools. This research study presents the application of electroencephalography and eye tracking technologies to examine cognitive load of student learners in biochemistry. In addition to leveraging the Pope Engagement Index and eye tracking analysis techniques, we seek better understanding of the relationship that various individual characteristics have with the level of cognitive load experienced. While this study focuses on a particular STEM student population as they manipulate various learning models, it has implications for further studies in human-computer interaction and other learning environments.