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 language | English |
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Number of pages | 10 |
Publication status | Accepted/In press - 18 Oct 2023 |
Event | 22nd IEEE International Symposium on Mixed and Augmented Reality: ISMAR 2023 - Sydney, Australia Duration: 15 Oct 2023 → 20 Oct 2023 Conference number: 22 https://ismar23.org |
Conference
Conference | 22nd IEEE International Symposium on Mixed and Augmented Reality |
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Abbreviated title | ISMAR23 |
Country/Territory | Australia |
City | Sydney |
Period | 15/10/23 → 20/10/23 |
Internet address |
Keywords
- EEG
- error-related potential
- Virtual reality
- Navigation
Fields of Expertise
- Human- & Biotechnology
- Information, Communication & Computing