Using neurophysiological signals that reflect cognitive or affective state (Record no. 70377)

MARC details
000 -LEADER
fixed length control field 04429naaaa2200385uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/61794
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220062320.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-2-88919-613-5
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9782889196135
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3389/978-2-88919-613-5
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Anne-Marie Brouwer
Relationship auth
245 10 - TITLE STATEMENT
Title Using neurophysiological signals that reflect cognitive or affective state
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Frontiers Media SA
Date of publication, distribution, etc. 2015
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (314 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. What can we learn from spontaneously occurring brain and other physiological signals about an individual’s cognitive and affective state and how can we make use of this information? One line of research that is actively involved with this question is Passive Brain-Computer-Interfaces (BCI). To date most BCIs are aimed at assisting patients for whom brain signals could form an alternative output channel as opposed to more common human output channels, like speech and moving the hands. However, brain signals (possibly in combination with other physiological signals) also form an output channel above and beyond the more usual ones: they can potentially provide continuous, online information about an individual’s cognitive and affective state without the need of conscious or effortful communication. The provided information could be used in a number of ways. Examples include monitoring cognitive workload through EEG and skin conductance for adaptive automation or using ERPs in response to errors to correct for a behavioral response. While Passive BCIs make use of online (neuro)physiological responses and close the interaction cycle between a user and a computer system, (neuro)physiological responses can also be used in an offline fashion. Examples of this include detecting amygdala responses for neuromarketing, and measuring EEG and pupil dilation as indicators of mental effort for optimizing information systems. The described field of applied (neuro)physiology can strongly benefit from high quality scientific studies that control for confounding factors and use proper comparison conditions. Another area of relevance is ethics, ranging from dubious product claims, acceptance of the technology by the general public, privacy of users, to possible effects that these kinds of applications may have on society as a whole. In this Research Topic we aimed to publish studies of the highest scientific quality that are directed towards applications that utilize spontaneously, effortlessly generated neurophysiological signals (brain and/or other physiological signals) reflecting cognitive or affective state. We especially welcomed studies that describe specific real world applications demonstrating a significant benefit compared to standard applications. We also invited original, new kinds of (proposed) applications in this area as well as comprehensive review articles that point out what is and what is not possible (according to scientific standards) in this field. Finally, we welcomed manuscripts on the ethical issues that are involved. Connected to the Research Topic was a workshop (held on June 6, during the Fifth International Brain-Computer Interface Meeting, June 3-7, 2013, Asilomar, California) that brought together a diverse group of people who were working in this field. We discussed the state of the art and formulated major challenges, as reflected in the first paper of the Research Topic.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Brain-computer interface
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Uncontrolled term cognitive state
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Uncontrolled term EEG
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Uncontrolled term affective state
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Uncontrolled term physiological computing
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Uncontrolled term mental state
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Uncontrolled term applied neuroscience
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Uncontrolled term Psychophysiology
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Uncontrolled term neuroergonomics
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Uncontrolled term Neurophysiology
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Thorsten O. Zander
Relationship auth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jan B. F. van Erp
Relationship auth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="http://journal.frontiersin.org/researchtopic/1528/using-neurophysiological-signals-that-reflect-cognitive-or-affective-state">http://journal.frontiersin.org/researchtopic/1528/using-neurophysiological-signals-that-reflect-cognitive-or-affective-state</a>
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Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/61794">https://directory.doabooks.org/handle/20.500.12854/61794</a>
Access status 0
Public note DOAB: description of the publication

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