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Enhancing visuospatial attention performance with brain-computer interfaces

Authors:

Romain Trachel,

Thomas Brochier,

Maureen ClercAuthors Info & Claims

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

Pages 1245 - 1250

https://doi.org/10.1145/2468356.2468579

Published: 27 April 2013 Publication History

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Abstract

Visuospatial attention is often investigated with features related to the head or the gaze during Human-Computer Interaction (HCI). However the focus of attention can be dissociated from overt responses such as eye movements, and impossible to detect from behavioral data. Actually, Electroencephalography (EEG) can also provide valuable information about covert aspects of spatial attention. Therefore we propose a innovative approach in view of developping a Brain-Computer Interface (BCI) to enhance human reaction speed and accuracy. This poster presents an offline evaluation of the approach based on physiological data recorded in a visuospatial attention experiment. Finally we discuss about the future interface that could enhance HCI by displaying visual information at the focus of attention.

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Szajerman DNapieralski P(2017)Joint analysis of simultaneous EEG and eye tracking data for video picture2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts10.1109/ISEF.2017.8090693(1-2)Online publication date: Sep-2017
https://doi.org/10.1109/ISEF.2017.8090693

Index Terms

Enhancing visuospatial attention performance with brain-computer interfaces
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

April 2013

3360 pages

ISBN:9781450319522

DOI:10.1145/2468356

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 27 April 2013

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CHI '13

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SIGCHI

CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

Paris, France

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CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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April 26 - May 1, 2025

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Szajerman DNapieralski P(2017)Joint analysis of simultaneous EEG and eye tracking data for video picture2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts10.1109/ISEF.2017.8090693(1-2)Online publication date: Sep-2017
https://doi.org/10.1109/ISEF.2017.8090693

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Recommendations

A Pilot Study using Covert Visuospatial Attention as an EEG-based Brain Computer Interface to Enhance AR Interaction

A Single-Trial Multiclass Classification of Various Motor Imagery Tasks for EEG-Based Brain-Computer Interface Communication

Use of ANNs as classifiers for selective attention brain-computer interfaces

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