Using event-related brain potentials to evaluate motor-auditory latencies in virtual reality.

N1 P2 delay electroencephalography (EEG) prediction virtual reality (VR)

Journal

Frontiers in neuroergonomics
ISSN: 2673-6195
Titre abrégé: Front Neurogenom
Pays: Switzerland
ID NLM: 9918663089006676

Informations de publication

Date de publication:
2023
Historique:
received: 29 03 2023
accepted: 14 06 2023
medline: 18 1 2024
pubmed: 18 1 2024
entrez: 18 1 2024
Statut: epublish

Résumé

Actions in the real world have immediate sensory consequences. Mimicking these in digital environments is within reach, but technical constraints usually impose a certain latency (delay) between user actions and system responses. It is important to assess the impact of this latency on the users, ideally with measurement techniques that do not interfere with their digital experience. One such unobtrusive technique is electroencephalography (EEG), which can capture the users' brain activity associated with motor responses and sensory events by extracting event-related potentials (ERPs) from the continuous EEG recording. Here we exploit the fact that the amplitude of sensory ERP components (specifically, N1 and P2) reflects the degree to which the sensory event was perceived as an expected consequence of an own action (self-generation effect). Participants (

Identifiants

pubmed: 38234486
doi: 10.3389/fnrgo.2023.1196507
pmc: PMC10790907
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1196507

Informations de copyright

Copyright © 2023 Feder, Miksch, Grimm, Krems and Bendixen.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. AB declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Sascha Feder (S)

Cognitive Systems Lab, Institute of Physics, Faculty of Natural Sciences, Chemnitz University of Technology, Chemnitz, Germany.

Jochen Miksch (J)

Cognitive Systems Lab, Institute of Physics, Faculty of Natural Sciences, Chemnitz University of Technology, Chemnitz, Germany.
Physics of Cognition Group, Institute of Physics, Faculty of Natural Sciences, Chemnitz University of Technology, Chemnitz, Germany.

Sabine Grimm (S)

Cognitive Systems Lab, Institute of Physics, Faculty of Natural Sciences, Chemnitz University of Technology, Chemnitz, Germany.
Physics of Cognition Group, Institute of Physics, Faculty of Natural Sciences, Chemnitz University of Technology, Chemnitz, Germany.

Josef F Krems (JF)

Research Group Cognitive and Engineering Psychology, Institute of Psychology, Faculty of Behavioural and Social Sciences, Chemnitz University of Technology, Chemnitz, Germany.

Alexandra Bendixen (A)

Cognitive Systems Lab, Institute of Physics, Faculty of Natural Sciences, Chemnitz University of Technology, Chemnitz, Germany.

Classifications MeSH