Article

EEG/ERP meets ACT-R: a case study for investigating human computation mechanism

Authors:

Shinichi Motomura,

Ning ZhongAuthors Info & Claims

BI'09: Proceedings of the 2009 international conference on Brain informatics

Pages 63 - 73

Published: 22 October 2009 Publication History

Abstract

EEG (electroencephalograph) provides information about the electrical fluctuations between neurons that characterize brain activity, and measurements of brain activity at resolutions approaching real time. On the other hand, cognitive architectures such as ACT-R would explain how all the components of the mind work together to generate coherent human cognition. Thus EEG/ERP (event-related potential) and ACT-R will provide two aspects to explore the cognitive processes and their neural basis. In this paper, we present a case study by combining EEG/ERP and ACT-R for investigating human computation mechanism. In particular, we focus on two digits addition tasks with or without carry, and systematically perform a set of behavior and EEG experiments, as well as with the help of ACT-R simulation. Preliminary results show the usefulness of our approach.

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Cited By

Mohedano EHealy GMcGuinness KGiró-i-Nieto XO'Connor NSmeaton AHua KRui YSteinmetz RHanjalic ANatsev AZhu W(2014)Object Segmentation in Images using EEG SignalsProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2654896(417-426)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2647868.2654896

EEG/ERP meets ACT-R: a case study for investigating human computation mechanism
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
    2. Philosophical/theoretical foundations of artificial intelligence
2. Human-centered computing

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Information & Contributors

Information

Published In

cover image Guide Proceedings

BI'09: Proceedings of the 2009 international conference on Brain informatics

October 2009

236 pages

ISBN:3642049532

Editors:
Ning Zhong
Department of Life Science and Informatics, Maebashi Institute of Technology, Japan
,
Kuncheng Li
Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
,
Shengfu Lu
The International WIC Institute, Beijing University of Technology, China
,
Lin Chen
Institute of Biophysics, Chinese Academy of Sciences, Beijing, China

Sponsors

NSF of China: National Natural Science Foundation of China
Beijing Municipal Lab of Brain Informatics
State Administration of Foreign Experts Affairs
Beijing University of Technology
Chinese Society of Radiology

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 22 October 2009

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Cited By

Mohedano EHealy GMcGuinness KGiró-i-Nieto XO'Connor NSmeaton AHua KRui YSteinmetz RHanjalic ANatsev AZhu W(2014)Object Segmentation in Images using EEG SignalsProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2654896(417-426)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2647868.2654896

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