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Multi-aspect ERP Data Analysis for Understanding Human Calculation Related Information Processing Mechanism
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI-IATW.2006.942006 IEEE/WIC/ACM International Confe ...
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Shinichi Motomura, Maebashi Institute of Technology, Japan
Akinori Hara, Maebashi Institute of Technology, Japan
Ning Zhong, Maebashi Institute of Technology, Japan
Jing-Long Wu, Kagawa University, Japan
In the paper, we propose a multi-aspect data mining process for investigating a more whole human information process mechanism systematically. As an example to demonstrate the proposed mining process, we explain how to design the experiment of an ERP mental arithmetic task with visual and auditory stimuli, and describe how to do multi-aspect analysis in the obtained ERP data, respectively. Furthermore, we give some preliminary results to show the usefulness of our methodology and to discuss the future research directions. The proposed methodology attempts to change the perspective of cognitive scientists from a single type of experimental data analysis towards a holistic view at a long-term, global field of vision.
Citation:
Shinichi Motomura, Akinori Hara, Ning Zhong, Jing-Long Wu, "Multi-aspect ERP Data Analysis for Understanding Human Calculation Related Information Processing Mechanism," wi-iatw, pp.481-485, 2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2006
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