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

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 oscilla...

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Autores principales: Vukelić, Mathias, Lingelbach, Katharina, Pollmann, Kathrin, Peissner, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824422/
https://www.ncbi.nlm.nih.gov/pubmed/33396330
http://dx.doi.org/10.3390/brainsci11010035
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author Vukelić, Mathias
Lingelbach, Katharina
Pollmann, Kathrin
Peissner, Matthias
author_facet Vukelić, Mathias
Lingelbach, Katharina
Pollmann, Kathrin
Peissner, Matthias
author_sort Vukelić, Mathias
collection PubMed
description 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.
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spelling pubmed-78244222021-01-24 Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems Vukelić, Mathias Lingelbach, Katharina Pollmann, Kathrin Peissner, Matthias Brain Sci Article 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. MDPI 2020-12-31 /pmc/articles/PMC7824422/ /pubmed/33396330 http://dx.doi.org/10.3390/brainsci11010035 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vukelić, Mathias
Lingelbach, Katharina
Pollmann, Kathrin
Peissner, Matthias
Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems
title Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems
title_full Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems
title_fullStr Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems
title_full_unstemmed Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems
title_short Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems
title_sort oscillatory eeg signatures of affective processes during interaction with adaptive computer systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824422/
https://www.ncbi.nlm.nih.gov/pubmed/33396330
http://dx.doi.org/10.3390/brainsci11010035
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