TY - GEN
T1 - EEG error-related potentials elicited by user-initiated errors at different levels of game difficulty
AU - Zheng, Yuting
AU - Huang, Mengjie
AU - Yang, Rui
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Error-related potentials (ErrPs) are electrical signals of brain activity elicited by the perception of errors. They have been studied to understand the error processing function of humans and decoded to be used to detect erroneous output in brain-computer interface (BCI) systems. This study investigated the influence of task difficulty on ErrPs elicited by user-initiated outcome errors in an interactive game. The time-domain analysis showed the result that the highest peak of hard-level ErrPs had a longer latency than that of easy-level ErrPs. The time-frequency analysis showed that the power of α (8-13Hz) bands increases at about 200-600ms and the power of 1-5Hz increases starting at about 50ms for easy-level ErrPs, while the power of β (14-30Hz) bands increases at about 100-1000ms and the power of 1-5Hz increases start at about 300ms for hard-level ErrPs. The results provided preliminary evidence that the error processing takes more time for a task with higher difficulty levels, and the difference in spectral power distribution implies the differences in cognitive processes. The study helped explore the modulation mechanism of ErrPs and provided reference factors for the selection of ErrPs decoding algorithm in BCI systems to improve its efficiency and user experience.
AB - Error-related potentials (ErrPs) are electrical signals of brain activity elicited by the perception of errors. They have been studied to understand the error processing function of humans and decoded to be used to detect erroneous output in brain-computer interface (BCI) systems. This study investigated the influence of task difficulty on ErrPs elicited by user-initiated outcome errors in an interactive game. The time-domain analysis showed the result that the highest peak of hard-level ErrPs had a longer latency than that of easy-level ErrPs. The time-frequency analysis showed that the power of α (8-13Hz) bands increases at about 200-600ms and the power of 1-5Hz increases starting at about 50ms for easy-level ErrPs, while the power of β (14-30Hz) bands increases at about 100-1000ms and the power of 1-5Hz increases start at about 300ms for hard-level ErrPs. The results provided preliminary evidence that the error processing takes more time for a task with higher difficulty levels, and the difference in spectral power distribution implies the differences in cognitive processes. The study helped explore the modulation mechanism of ErrPs and provided reference factors for the selection of ErrPs decoding algorithm in BCI systems to improve its efficiency and user experience.
KW - brain-computer interface
KW - electroencephalogram
KW - error-related potentials
KW - user-initiated errors
UR - http://www.scopus.com/inward/record.url?scp=85137906547&partnerID=8YFLogxK
U2 - 10.1109/HSI55341.2022.9869502
DO - 10.1109/HSI55341.2022.9869502
M3 - Conference Proceeding
AN - SCOPUS:85137906547
T3 - International Conference on Human System Interaction, HSI
BT - 15th IEEE International Conference on Human System Interaction, HSI 2022
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on Human System Interaction, HSI 2022
Y2 - 28 July 2022 through 31 July 2022
ER -