Multi-modal affect induction for affective brain-computer interfaces

  • Authors:

  • Christian Mühl;Egon L. van den Broek;Anne-Marie Brouwer;Femke Nijboer;Nelleke van Wouwe;Dirk Heylen

  • Affiliations:

  • Human Media Interaction, University of Twente, Enschede, The Netherlands;Human Media Interaction, University of Twente, Enschede, The Netherlands and Human-Centered Computing Consultancy, Vienna, Austria and Karakter University Center, Radboud University Medical Center ...;TNO Behavioural and Societal Sciences, Soesterberg, The Netherlands;Human Media Interaction, University of Twente, Enschede, The Netherlands;TNO Behavioural and Societal Sciences, Soesterberg, The Netherlands;Human Media Interaction, University of Twente, Enschede, The Netherlands

  • Venue:
  • ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
  • Year:
  • 2011

  • Effortless passive BCIs for healthy users

    UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I

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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 modalityspecific 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 multimodal aBCI.