Neurophysiological Assessment of Affective Experience

C. Mühl

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    Abstract

    In the field of Affective Computing the affective experience (AX) of the user during the interaction with computers is of great interest. The automatic recognition of the affective state, or emotion, of the user is one of the big challenges. In this proposal I focus on the affect recognition via physiological and neurophysiological signals. Long��?standing evidence from psychophysiological research and more recently from research in affective neuroscience suggests that both, body and brain physiology, are able to indicate the current affective state of a subject. However, regarding the classification of AX several questions are still unanswered. The principal possibility of AX classification was repeatedly shown, but its generalisation over different task contexts, elicitating stimuli modalities, subjects or time is seldom addressed. In this proposal I will discuss a possible agenda for the further exploration of physiological and neurophysiological correlates of AX over different elicitation modalities and task contexts.
    Original languageEnglish
    Title of host publicationACII 2009: Affective Computing and Intelligent Interaction
    Subtitle of host publicationProceedings of the Doctoral Consortium
    Place of PublicationEnschede
    PublisherCentre for Telematics and Information Technology (CTIT)
    Pages89-96
    Number of pages8
    Publication statusPublished - 2009
    EventDoctoral Consortium at ACII 2009 - Amsterdam, Netherlands
    Duration: 12 Sep 200912 Sep 2009

    Publication series

    NameCTIT Workshop Proceedings
    PublisherCentre for Telematics and Information Technology University of Twente
    Volume13
    ISSN (Print)0929-0672
    ISSN (Electronic)0929-0672

    Conference

    ConferenceDoctoral Consortium at ACII 2009
    CountryNetherlands
    CityAmsterdam
    Period12/09/0912/09/09

    Keywords

    • METIS-264318
    • Affective Computing
    • Affective Signal Processing
    • IR-69487
    • HMI-HF: Human Factors
    • Emotions
    • EWI-17178
    • physiological Sensors
    • HMI-MI: MULTIMODAL INTERACTIONS
    • EEG

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  • Cite this

    Mühl, C. (2009). Neurophysiological Assessment of Affective Experience. In ACII 2009: Affective Computing and Intelligent Interaction: Proceedings of the Doctoral Consortium (pp. 89-96). (CTIT Workshop Proceedings; Vol. 13). Enschede: Centre for Telematics and Information Technology (CTIT).