research-article

Relevance of EEG input signals in the augmented human reader

Authors:

Inês Oliveira,

Ovidiu Grigore,

Nuno Guimarães,

Luís DuarteAuthors Info & Claims

AH '10: Proceedings of the 1st Augmented Human International Conference

Article No.: 5, Pages 1 - 9

https://doi.org/10.1145/1785455.1785460

Published: 02 April 2010 Publication History

Abstract

This paper studies the discrimination of electroencephalographic (EEG) signals based in their capacity to identify silent attentive visual reading activities versus non reading states.

The use of physiological signals is growing in the design of interactive systems due to their relevance in the improvement of the coupling between user states and application behavior.

Reading is pervasive in visual user interfaces. In previous work, we integrated EEG signals in prototypical applications, designed to analyze reading tasks. This work searches for signals that are most relevant for reading detection procedures. More specifically, this study determines which features, input signals, and frequency bands are more significant for discrimination between reading and non-reading classes. This optimization is critical for an efficient and real time implementation of EEG processing software components, a basic requirement for the future applications.

We use probabilistic similarity metrics, independent of the classification algorithm. All analyses are performed after determining the power spectrum density of delta, theta, alpha, beta and gamma rhythms. The results about the relevance of the input signals are validated with functional neurosciences knowledge.

The experiences have been performed in a conventional HCI lab, with non clinical EEG equipment and setup. This is an explicit and voluntary condition. We anticipate that future mobile and wireless EEG capture devices will allow this work to be generalized to common applications.

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Cited By

Guerrero Gda Silva FFernández-Caballero APereira A(2022)Augmented Humanity: A Systematic Mapping ReviewSensors10.3390/s2202051422:2(514)Online publication date: 10-Jan-2022
https://doi.org/10.3390/s22020514
Aggarwal ANiezen GThimbleby HRoto VHäkkilä JVäänänen-Vainio-Mattila KJuhlin OOlsson THvannberg E(2014)User experience evaluation through the brain's electrical activityProceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational10.1145/2639189.2639236(491-500)Online publication date: 26-Oct-2014
https://dl.acm.org/doi/10.1145/2639189.2639236
Cavazza MCharles FAranyi GPorteous JGilroy SRaz GKeynan NCohen AJackont GJacob YSoreq EKlovatch IHendler TTerada TInami MKunze KNojima T(2014)Towards emotional regulation through neurofeedbackProceedings of the 5th Augmented Human International Conference10.1145/2582051.2582093(1-8)Online publication date: 7-Mar-2014
https://dl.acm.org/doi/10.1145/2582051.2582093
Show More Cited By

Index Terms

Relevance of EEG input signals in the augmented human reader
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction paradigms
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

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Published In

cover image ACM Other conferences

AH '10: Proceedings of the 1st Augmented Human International Conference

April 2010

175 pages

ISBN:9781605588254

DOI:10.1145/1785455

General Chairs:
Hideo Saito
Keio University, Japan
,
Jean-Marc Seigneur
University of Geneva, Switzerland
,
Program Chairs:
Guillaume Moreau
Ecole Centrale de Nantes, France
,
Pranav Mistry
MIT Media Lab

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 April 2010

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Fundação para a Ciência e a Tecnologia

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AH '10

AH '10: 2010 Augmented Human International Conference

April 2 - 3, 2010

Megève, France

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AH '10 Paper Acceptance Rate 25 of 46 submissions, 54%;

Overall Acceptance Rate 121 of 306 submissions, 40%

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Cited By

Guerrero Gda Silva FFernández-Caballero APereira A(2022)Augmented Humanity: A Systematic Mapping ReviewSensors10.3390/s2202051422:2(514)Online publication date: 10-Jan-2022
https://doi.org/10.3390/s22020514
Aggarwal ANiezen GThimbleby HRoto VHäkkilä JVäänänen-Vainio-Mattila KJuhlin OOlsson THvannberg E(2014)User experience evaluation through the brain's electrical activityProceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational10.1145/2639189.2639236(491-500)Online publication date: 26-Oct-2014
https://dl.acm.org/doi/10.1145/2639189.2639236
Cavazza MCharles FAranyi GPorteous JGilroy SRaz GKeynan NCohen AJackont GJacob YSoreq EKlovatch IHendler TTerada TInami MKunze KNojima T(2014)Towards emotional regulation through neurofeedbackProceedings of the 5th Augmented Human International Conference10.1145/2582051.2582093(1-8)Online publication date: 7-Mar-2014
https://dl.acm.org/doi/10.1145/2582051.2582093
Iso THorikoshi T(2013)Statistical approaches for personal feature extraction from pressure array sensors2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)10.1109/CAMSAP.2013.6714024(129-132)Online publication date: Dec-2013
https://doi.org/10.1109/CAMSAP.2013.6714024
Oliveira IGuimarães N(2013)Practical Neurophysiological Analysis of Readability as a Usability DimensionHuman Factors in Computing and Informatics10.1007/978-3-642-39062-3_12(194-211)Online publication date: 2013
https://doi.org/10.1007/978-3-642-39062-3_12

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