{"title":"从多方面分析ERP数据,了解人类计算相关信息处理机制","authors":"S. Motomura, A. Hara, Ning Zhong, Jing-long Wu","doi":"10.1109/WI-IATW.2006.94","DOIUrl":null,"url":null,"abstract":"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 multiaspect 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","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-aspect ERP Data Analysis for Understanding Human Calculation Related Information Processing Mechanism\",\"authors\":\"S. Motomura, A. Hara, Ning Zhong, Jing-long Wu\",\"doi\":\"10.1109/WI-IATW.2006.94\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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 multiaspect 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\",\"PeriodicalId\":358971,\"journal\":{\"name\":\"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI-IATW.2006.94\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI-IATW.2006.94","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-aspect ERP Data Analysis for Understanding Human Calculation Related Information Processing Mechanism
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 multiaspect 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