Multi-modal affect induction for affective brain-computer interfaces

C. Mühl, Egon van den Broek, Anne-Marie Brouwer, Femke Nijboer, Nelleke van Wouwe, Dirk K.J. Heylen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    8 Citations (Scopus)
    124 Downloads (Pure)

    Abstract

    Reliable applications of affective brain-computer interfaces (aBCI) in realistic, multi-modal environments require a detailed understanding of the processes involved in emotions. To explore the modality-specific nature of affective responses, we studied neurophysiological responses (i.e., EEG) of 24 participants during visual, auditory, and audiovisual affect stimulation. The affect induction protocols were validated by participants’ subjective ratings and physiological responses (i.e., ECG). Coherent with literature, we found modality-specific responses in the EEG: posterior alpha power decreases during visual stimulation and increases during auditory stimulation, anterior alpha power tends to decrease during auditory stimulation and to increase during visual stimulation. We discuss the implications of these results for multi-modal aBCI.
    Original languageUndefined
    Title of host publicationProceedings of the 4th International Conference on Affective Computing and Intelligent Interaction (ACII 2011), Part I
    EditorsSidney D’Mello, Arthur Graesser, Björn Schuller, Jean-Claude Martin
    Place of PublicationNew York
    PublisherSpringer
    Pages235-245
    Number of pages11
    ISBN (Print)978-3-642-24599-2
    DOIs
    Publication statusPublished - 9 Oct 2011
    Event4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011 - Memphis, United States
    Duration: 9 Oct 201112 Oct 2011
    Conference number: 4

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume6974
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011
    Abbreviated titleASCII
    Country/TerritoryUnited States
    CityMemphis
    Period9/10/1112/10/11

    Keywords

    • METIS-281551
    • Auditory
    • Affective brain-computer interfaces
    • BCI
    • IR-78513
    • ECG
    • HMI-CI: Computational Intelligence
    • Visual
    • Emotion
    • Multimodal
    • EWI-20762
    • HMI-MI: MULTIMODAL INTERACTIONS
    • HMI-HF: Human Factors
    • EEG

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