EEG-based Error Detection can Challenge Human Reaction Time in a VR Navigation Task

Michael Wimmer, Nicole Weidinger, Neven El Sayed, Gernot Müller-Putz, Eduardo Enrique Veas

Research output: Contribution to conferencePaperpeer-review

Abstract

Error perception is known to elicit distinct brain patterns, which can be used to improve the usability of systems facilitating human-computer interactions, such as brain-computer interfaces. This re- quires a high-accuracy detection of erroneous events, e.g., mis- interpretations of the user’s intention by the interface, to allow for suitable reactions of the system. In this work, we concentrate on steering-based navigation tasks. We present a combined electroencephalography-virtual reality (VR) study investigating different approaches for error detection and simultaneously exploring the corrective human behavior to erroneous events in a VR flight simulation. We could classify different errors allowing us to analyze neural signatures of unexpected changes in the VR. Moreover, the presented models could detect errors faster than participants naturally responded to them. We believe this work can contribute to developing adaptive VR applications that exclusively rely on the user’s physiological information.
Original languageEnglish
Number of pages10
Publication statusAccepted/In press - 18 Oct 2023
Event22nd IEEE International Symposium on Mixed and Augmented Reality: ISMAR 2023 - Sydney, Australia
Duration: 15 Oct 202320 Oct 2023
Conference number: 22
https://ismar23.org

Conference

Conference22nd IEEE International Symposium on Mixed and Augmented Reality
Abbreviated titleISMAR23
Country/TerritoryAustralia
CitySydney
Period15/10/2320/10/23
Internet address

Keywords

  • EEG
  • error-related potential
  • Virtual reality
  • Navigation

Fields of Expertise

  • Human- & Biotechnology
  • Information, Communication & Computing

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