Affective brain-computer interfaces: neuroscientific approaches to affect detection

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Downloads (Pure)

Abstract

The brain is involved in the registration, evaluation, and representation of emotional events and in the subsequent planning and execution of appropriate actions. Novel interface technologies—so-called affective brain-computer interfaces (aBCI)—can use this rich neural information, occurring in response to affective stimulation, for the detection of the user’s affective state. This chapter gives an overview of the promises and challenges that arise from the possibility of neurophysiology-based affect detection, with a special focus on electrophysiological signals. After outlining the potential of aBCI relative to other sensing modalities, the reader is introduced to the neurophysiological and neurotechnological background of this interface technology. Potential application scenarios are situated in a general framework of brain-computer interfaces. Finally, the main scientific and technological challenges that have yet to be solved on the way toward reliable affective brain-computer interfaces are discussed.
Original languageUndefined
Title of host publicationOxford Handbook of Affective Computing
EditorsRafael Calvo, Sidney K. D'Mello, Jonathan Gratch, Arvid Kappas
Place of PublicationOxford
PublisherOxford University Press
Pages217-232
Number of pages16
ISBN (Print)978-0-19937-347-5
DOIs
Publication statusPublished - Jan 2015

Publication series

Name
PublisherOxford University Press

Keywords

  • IR-92423
  • METIS-309544
  • Neurophysiology
  • Brain-Computer Interfaces
  • EWI-22213
  • Emotion
  • HMI-MI: MULTIMODAL INTERACTIONS
  • HMI-HF: Human Factors
  • affective state

Cite this

Mühl, C., Heylen, D. K. J., & Nijholt, A. (2015). Affective brain-computer interfaces: neuroscientific approaches to affect detection. In R. Calvo, S. K. D'Mello, J. Gratch, & A. Kappas (Eds.), Oxford Handbook of Affective Computing (pp. 217-232). Oxford: Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199942237.013.024
Mühl, C. ; Heylen, Dirk K.J. ; Nijholt, Antinus. / Affective brain-computer interfaces: neuroscientific approaches to affect detection. Oxford Handbook of Affective Computing. editor / Rafael Calvo ; Sidney K. D'Mello ; Jonathan Gratch ; Arvid Kappas. Oxford : Oxford University Press, 2015. pp. 217-232
@inbook{0553cd801053442586bf147c7d8df0fa,
title = "Affective brain-computer interfaces: neuroscientific approaches to affect detection",
abstract = "The brain is involved in the registration, evaluation, and representation of emotional events and in the subsequent planning and execution of appropriate actions. Novel interface technologies—so-called affective brain-computer interfaces (aBCI)—can use this rich neural information, occurring in response to affective stimulation, for the detection of the user’s affective state. This chapter gives an overview of the promises and challenges that arise from the possibility of neurophysiology-based affect detection, with a special focus on electrophysiological signals. After outlining the potential of aBCI relative to other sensing modalities, the reader is introduced to the neurophysiological and neurotechnological background of this interface technology. Potential application scenarios are situated in a general framework of brain-computer interfaces. Finally, the main scientific and technological challenges that have yet to be solved on the way toward reliable affective brain-computer interfaces are discussed.",
keywords = "IR-92423, METIS-309544, Neurophysiology, Brain-Computer Interfaces, EWI-22213, Emotion, HMI-MI: MULTIMODAL INTERACTIONS, HMI-HF: Human Factors, affective state",
author = "C. M{\"u}hl and Heylen, {Dirk K.J.} and Antinus Nijholt",
note = "10.1093/oxfordhb/9780199942237.013.024",
year = "2015",
month = "1",
doi = "10.1093/oxfordhb/9780199942237.013.024",
language = "Undefined",
isbn = "978-0-19937-347-5",
publisher = "Oxford University Press",
pages = "217--232",
editor = "Rafael Calvo and D'Mello, {Sidney K.} and Jonathan Gratch and Arvid Kappas",
booktitle = "Oxford Handbook of Affective Computing",
address = "United Kingdom",

}

Mühl, C, Heylen, DKJ & Nijholt, A 2015, Affective brain-computer interfaces: neuroscientific approaches to affect detection. in R Calvo, SK D'Mello, J Gratch & A Kappas (eds), Oxford Handbook of Affective Computing. Oxford University Press, Oxford, pp. 217-232. https://doi.org/10.1093/oxfordhb/9780199942237.013.024

Affective brain-computer interfaces: neuroscientific approaches to affect detection. / Mühl, C.; Heylen, Dirk K.J.; Nijholt, Antinus.

Oxford Handbook of Affective Computing. ed. / Rafael Calvo; Sidney K. D'Mello; Jonathan Gratch; Arvid Kappas. Oxford : Oxford University Press, 2015. p. 217-232.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

TY - CHAP

T1 - Affective brain-computer interfaces: neuroscientific approaches to affect detection

AU - Mühl, C.

AU - Heylen, Dirk K.J.

AU - Nijholt, Antinus

N1 - 10.1093/oxfordhb/9780199942237.013.024

PY - 2015/1

Y1 - 2015/1

N2 - The brain is involved in the registration, evaluation, and representation of emotional events and in the subsequent planning and execution of appropriate actions. Novel interface technologies—so-called affective brain-computer interfaces (aBCI)—can use this rich neural information, occurring in response to affective stimulation, for the detection of the user’s affective state. This chapter gives an overview of the promises and challenges that arise from the possibility of neurophysiology-based affect detection, with a special focus on electrophysiological signals. After outlining the potential of aBCI relative to other sensing modalities, the reader is introduced to the neurophysiological and neurotechnological background of this interface technology. Potential application scenarios are situated in a general framework of brain-computer interfaces. Finally, the main scientific and technological challenges that have yet to be solved on the way toward reliable affective brain-computer interfaces are discussed.

AB - The brain is involved in the registration, evaluation, and representation of emotional events and in the subsequent planning and execution of appropriate actions. Novel interface technologies—so-called affective brain-computer interfaces (aBCI)—can use this rich neural information, occurring in response to affective stimulation, for the detection of the user’s affective state. This chapter gives an overview of the promises and challenges that arise from the possibility of neurophysiology-based affect detection, with a special focus on electrophysiological signals. After outlining the potential of aBCI relative to other sensing modalities, the reader is introduced to the neurophysiological and neurotechnological background of this interface technology. Potential application scenarios are situated in a general framework of brain-computer interfaces. Finally, the main scientific and technological challenges that have yet to be solved on the way toward reliable affective brain-computer interfaces are discussed.

KW - IR-92423

KW - METIS-309544

KW - Neurophysiology

KW - Brain-Computer Interfaces

KW - EWI-22213

KW - Emotion

KW - HMI-MI: MULTIMODAL INTERACTIONS

KW - HMI-HF: Human Factors

KW - affective state

U2 - 10.1093/oxfordhb/9780199942237.013.024

DO - 10.1093/oxfordhb/9780199942237.013.024

M3 - Chapter

SN - 978-0-19937-347-5

SP - 217

EP - 232

BT - Oxford Handbook of Affective Computing

A2 - Calvo, Rafael

A2 - D'Mello, Sidney K.

A2 - Gratch, Jonathan

A2 - Kappas, Arvid

PB - Oxford University Press

CY - Oxford

ER -

Mühl C, Heylen DKJ, Nijholt A. Affective brain-computer interfaces: neuroscientific approaches to affect detection. In Calvo R, D'Mello SK, Gratch J, Kappas A, editors, Oxford Handbook of Affective Computing. Oxford: Oxford University Press. 2015. p. 217-232 https://doi.org/10.1093/oxfordhb/9780199942237.013.024