Affective brain-computer interfaces: neuroscientific approaches to affect detection

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    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