Jun Wu
School of Economics and Management, Jiangsu University of Science and Technology, 212003, Zhenjiang, China
Wenmin Han
School of Economics and Management, Jiangsu University of Science and Technology, 212003, Zhenjiang, China
Xuanguo Xu
School of Economics and Management, Jiangsu University of Science and Technology, 212003, Zhenjiang, China
Taofeng Ye
School of Economics and Management, Jiangsu University of Science and Technology, 212003, Zhenjiang, China
ABSTRACT
Digital interface is an important medium in human-computer interaction, the operator electrophysiological index of alarm signal in the digital interface is one of the important basis of human-computer interaction research. Firstly, the brain automatic processing mechanisms and the pre-attentive change detection in human-computer interaction are analyzed, and the visual mismatch negativity which is cognitive neuroscience experiment measurement index was drawn out. Secondly, by using software E-prime, the visual mismatch negativity of operator was measured through the alarm signal in the digital interface stimulation. Finally, based on fixed coherent EEG inverse method, the source of brain signal on the alarm signal was found. The experimental results show that visual mismatch negativity exists in human-computer interaction of alarm signal. The perception ability for different types of alarm signals is different, and brain signal sources are also different. The results provide theoretical basis for ability improvement in human-computer interaction.
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How to cite this article
Jun Wu, Wenmin Han, Xuanguo Xu and Taofeng Ye, 2013. Human-computer Interaction Research on Alarm Signal in the Digital Interface Based on Fixed Coherent. Information Technology Journal, 12: 4163-4167.
DOI: 10.3923/itj.2013.4163.4167
URL: https://scialert.net/abstract/?doi=itj.2013.4163.4167
DOI: 10.3923/itj.2013.4163.4167
URL: https://scialert.net/abstract/?doi=itj.2013.4163.4167
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