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Article

Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems

1
Fraunhofer Institute for Industrial Engineering IAO, 70569 Stuttgart, Germany
2
Institute of Human Factors and Technology Management IAT, University of Stuttgart, 70569 Stuttgart, Germany
3
Department of Psychology, University of Oldenburg, 26129 Oldenburg, Germany
*
Author to whom correspondence should be addressed.
Brain Sci. 2021, 11(1), 35; https://doi.org/10.3390/brainsci11010035
Received: 26 November 2020 / Revised: 16 December 2020 / Accepted: 24 December 2020 / Published: 31 December 2020
(This article belongs to the Special Issue Current Perspectives on Neuroergonomics)
Affect monitoring is being discussed as a novel strategy to make adaptive systems more user-oriented. Basic knowledge about oscillatory processes and functional connectivity underlying affect during naturalistic human–computer interactions (HCI) is, however, scarce. This study assessed local oscillatory power entrainment and distributed functional connectivity in a close-to-naturalistic HCI-paradigm. Sixteen participants interacted with a simulated assistance system which deliberately evoked positive (supporting goal-achievement) and negative (impeding goal-achievement) affective reactions. Electroencephalography (EEG) was used to examine the reactivity of the cortical system during the interaction by studying both event-related (de-)synchronization (ERD/ERS) and event-related functional coupling of cortical networks towards system-initiated assistance. Significantly higher α-band and β-band ERD in centro-parietal and parieto-occipital regions and β-band ERD in bi-lateral fronto-central regions were observed during impeding system behavior. Supportive system behavior activated significantly higher γ-band ERS in bi-hemispheric parietal-occipital regions. This was accompanied by functional coupling of remote β-band and γ-band activity in the medial frontal, left fronto-central and parietal regions, respectively. Our findings identify oscillatory signatures of positive and negative affective processes as reactions to system-initiated assistance. The findings contribute to the development of EEG-based neuroadaptive assistance loops by suggesting a non-obtrusive method for monitoring affect in HCI. View Full-Text
Keywords: affective reactions; human–computer interaction; adaptive assistance system; electroencephalography; event-related desynchronization; event-related synchronization; functional connectivity affective reactions; human–computer interaction; adaptive assistance system; electroencephalography; event-related desynchronization; event-related synchronization; functional connectivity
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MDPI and ACS Style

Vukelić, M.; Lingelbach, K.; Pollmann, K.; Peissner, M. Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems. Brain Sci. 2021, 11, 35. https://doi.org/10.3390/brainsci11010035

AMA Style

Vukelić M, Lingelbach K, Pollmann K, Peissner M. Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems. Brain Sciences. 2021; 11(1):35. https://doi.org/10.3390/brainsci11010035

Chicago/Turabian Style

Vukelić, Mathias, Katharina Lingelbach, Kathrin Pollmann, and Matthias Peissner. 2021. "Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems" Brain Sciences 11, no. 1: 35. https://doi.org/10.3390/brainsci11010035

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