TY - GEN
T1 - A Survey on the Application of Virtual Reality in Event-Related Potential Research
AU - Marochko, Vladimir
AU - Reilly, Richard
AU - McDonnell, Rachel
AU - Longo, Luca
N1 - Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.
PY - 2022
Y1 - 2022
N2 - Virtual reality (VR) is getting traction in many contexts, allowing users to have a real-life experience in a virtual world. However, its application in the field of Neuroscience, and above all probing newer activity with the analysis of electroencephalographic (EEG) event-related potentials (ERP) is underexplored. This article reviews the state-of-the-art applications of virtual reality in ERP research, analysing current ways to integrate Head-Mounted Displays (HMD) with EEG head-sets for deploying ecologically valid experiments. It also identifies which ERP components are appropriate in VR settings, along with their paradigms, the technical configurations of the experiments conducted, and the reliability of the findings. Finally, the article synthesises this survey, providing recommendations to practitioners and scholars.
AB - Virtual reality (VR) is getting traction in many contexts, allowing users to have a real-life experience in a virtual world. However, its application in the field of Neuroscience, and above all probing newer activity with the analysis of electroencephalographic (EEG) event-related potentials (ERP) is underexplored. This article reviews the state-of-the-art applications of virtual reality in ERP research, analysing current ways to integrate Head-Mounted Displays (HMD) with EEG head-sets for deploying ecologically valid experiments. It also identifies which ERP components are appropriate in VR settings, along with their paradigms, the technical configurations of the experiments conducted, and the reliability of the findings. Finally, the article synthesises this survey, providing recommendations to practitioners and scholars.
KW - Event-related potentials
KW - Survey
KW - Virtual reality
UR - https://www.scopus.com/pages/publications/85136935269
U2 - 10.1007/978-3-031-14463-9_17
DO - 10.1007/978-3-031-14463-9_17
M3 - Conference contribution
AN - SCOPUS:85136935269
SN - 9783031144622
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 256
EP - 269
BT - Machine Learning and Knowledge Extraction - 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Proceedings
A2 - Holzinger, Andreas
A2 - Holzinger, Andreas
A2 - Holzinger, Andreas
A2 - Kieseberg, Peter
A2 - Tjoa, A Min
A2 - Weippl, Edgar
A2 - Weippl, Edgar
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2022, held in conjunction with the 17th International Conference on Availability, Reliability and Security, ARES 2022
Y2 - 23 August 2022 through 26 August 2022
ER -