Relationship between electroencephalographic data and comfort perception captured in a Virtual Reality design environment of an aircraft cabin.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
29 06 2022
Historique:
received: 10 03 2022
accepted: 13 06 2022
entrez: 29 6 2022
pubmed: 30 6 2022
medline: 2 7 2022
Statut: epublish

Résumé

Successful aircraft cabin design depends on how the different stakeholders are involved since the first phases of product development. To predict passenger satisfaction prior to the manufacturing phase, human response was investigated in a Virtual Reality (VR) environment simulating a cabin aircraft. Subjective assessments of virtual designs have been collected via questionnaires, while the underlying neural mechanisms have been captured through electroencephalographic (EEG) data. In particular, we focused on the modulation of EEG alpha rhythm as a valuable marker of the brain's internal state and investigated which changes in alpha power and connectivity can be related to a different visual comfort perception by comparing groups with higher and lower comfort rates. Results show that alpha-band power decreased in occipital regions during subjects' immersion in the virtual cabin compared with the relaxation state, reflecting attention to the environment. Moreover, alpha-band power was modulated by comfort perception: lower comfort was associated with a lower alpha power compared to higher comfort. Further, alpha-band Granger connectivity shows top-down mechanisms in higher comfort participants, modulating attention and restoring partial relaxation. Present results contribute to understanding the role of alpha rhythm in visual comfort perception and demonstrate that VR and EEG represent promising tools to quantify human-environment interactions.

Identifiants

pubmed: 35768460
doi: 10.1038/s41598-022-14747-0
pii: 10.1038/s41598-022-14747-0
pmc: PMC9243066
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10938

Informations de copyright

© 2022. The Author(s).

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Auteurs

Giulia Ricci (G)

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy. giulia.ricci29@unibo.it.

Francesca De Crescenzio (F)

Department of Industrial Engineering, University of Bologna, Forlì, Italy.

Sandhya Santhosh (S)

Department of Industrial Engineering, University of Bologna, Forlì, Italy.

Elisa Magosso (E)

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy.

Mauro Ursino (M)

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy.

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