Assessing NeuroSky’s Usability to Detect Attention Levels in an
Assessment Exercise

D 2009

Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise

REBOLLEDO-MENDEZ, Genaro; Ian DUNWELL; Erika MARTÍNEZ-MIRÓN; María Dolores VARGAS-CERDÁN; Sara DE FREITAS et. al.

Basic information

Original name

Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise

Authors

REBOLLEDO-MENDEZ, Genaro; Ian DUNWELL; Erika MARTÍNEZ-MIRÓN; María Dolores VARGAS-CERDÁN; Sara DE FREITAS; Fotis LIAROKAPIS and Alma GARCÍA-GAONA

Edition

Human-Computer Interaction. New Trends, Lecture Notes in Computer Science Volume 5610, p. 149-158, 10 pp. 2009

Publisher

Springer Berlin Heidelberg

Other information

Type of outcome

Proceedings paper

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

URL

Impact factor

Impact factor: 0.402 in 2005

ISBN

978-3-642-02573-0

ISSN

DOI

https://doi.org/10.1007/978-3-642-02574-7_17

Abstract

In the original language

This paper presents the results of a usability evaluation of the NeuroSky’s MindSet (MS). Until recently most Brain Computer Interfaces (BCI) have been designed for clinical and research purposes partly due to their size and complexity. However, a new generation of consumer-oriented BCI has appeared for the video game industry. The MS, a headset with a single electrode, is based on electro-encephalogram readings (EEG) capturing faint electrical signals generated by neural activity. The electrical signal across the electrode is measured to determine levels of attention (based on Alpha waveforms) and then translated into binary data. This paper presents the results of an evaluation to assess the usability of the MS by defining a model of attention to fuse attention signals with user-generated data in a Second Life assessment exercise. The results of this evaluation suggest that the MS provides accurate readings regarding attention, since there is a positive correlation between measured and self-reported attention levels. The results also suggest there are some usability and technical problems with its operation. Future research is presented consisting of the definition a standardized reading methodology and an algorithm to level out the natural fluctuation of users’ attention levels if they are to be used as inputs.

Cite

REBOLLEDO-MENDEZ, Genaro; Ian DUNWELL; Erika MARTÍNEZ-MIRÓN; María Dolores VARGAS-CERDÁN; Sara DE FREITAS; Fotis LIAROKAPIS and Alma GARCÍA-GAONA. Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise. Online. In Julie A. Jacko. Human-Computer Interaction. New Trends, Lecture Notes in Computer Science Volume 5610. Springer Berlin Heidelberg, 2009, p. 149-158. ISBN 978-3-642-02573-0. Available from: https://doi.org/10.1007/978-3-642-02574-7_17.

@inproceedings{1206168,
   author = {RebolledoandMendez, Genaro and Dunwell, Ian and MartínezandMirón, Erika and VargasandCerdán, María Dolores and de Freitas, Sara and Liarokapis, Fotis and GarcíaandGaona, Alma},
   booktitle = {Human-Computer Interaction. New Trends, Lecture Notes in Computer Science Volume 5610},
   doi = {https://doi.org/10.1007/978-3-642-02574-7_17},
   editor = {Julie A. Jacko},
   howpublished = {elektronická verze "online"},
   isbn = {978-3-642-02573-0},
   pages = {149-158},
   publisher = {Springer Berlin Heidelberg},
   title = {Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise},
   url = {http://link.springer.com/chapter/10.1007%2F978-3-642-02574-7_17},
   year = {2009}
}

TY  - CONF
ID  - 1206168
AU  - Rebolledo-Mendez, Genaro - Dunwell, Ian - Martínez-Mirón, Erika - Vargas-Cerdán, María Dolores - de Freitas, Sara - Liarokapis, Fotis - García-Gaona, Alma
PY  - 2009
TI  - Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise
PB  - Springer Berlin Heidelberg
SN  - 9783642025730
UR  - http://link.springer.com/chapter/10.1007%2F978-3-642-02574-7_17
N2  - This paper presents the results of a usability evaluation of the NeuroSky’s MindSet (MS). Until recently most Brain Computer Interfaces (BCI) have been designed for clinical and research purposes partly due to their size and complexity. However, a new generation of consumer-oriented BCI has appeared for the video game industry. The MS, a headset with a single electrode, is based on electro-encephalogram readings (EEG) capturing faint electrical signals generated by neural activity. The electrical signal across the electrode is measured to determine levels of attention (based on Alpha waveforms) and then translated into binary data. This paper presents the results of an evaluation to assess the usability of the MS by defining a model of attention to fuse attention signals with user-generated data in a Second Life assessment exercise. The results of this evaluation suggest that the MS provides accurate readings regarding attention, since there is a positive correlation between measured and self-reported attention levels. The results also suggest there are some usability and technical problems with its operation. Future research is presented consisting of the definition a standardized reading methodology and an algorithm to level out the natural fluctuation of users’ attention levels if they are to be used as inputs.
ER  -

REBOLLEDO-MENDEZ, Genaro; Ian DUNWELL; Erika MARTÍNEZ-MIRÓN; María Dolores VARGAS-CERDÁN; Sara DE FREITAS; Fotis LIAROKAPIS and Alma GARCÍA-GAONA. Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise. Online. In Julie A. Jacko. \textit{Human-Computer Interaction. New Trends, Lecture Notes in Computer Science Volume 5610}. Springer Berlin Heidelberg, 2009, p.~149-158. ISBN~978-3-642-02573-0. Available from: https://doi.org/10.1007/978-3-642-02574-7\_{}17.

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