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• W3031570802 abstract "In our previous work at University of Essex, collaborative brain-computer interfaces (cBCIs) have been used to estimate the decision confidence of individuals from their brain signals and behavioral data, thereby making it possible to improve group decision-making. However, such studies used cBCIs in controlled lab conditions, where users were discouraged from performing movements to avoid contaminating the brain signals with muscular artefacts. In this chapter, we describe a cBCI developed for and tested in a dual-task situation, where users perform decision-making tasks while walking on a treadmill at a leisurely pace. The participants in this study were presented with video sequences of a dynamic environment representing the viewpoint of a user walking at a constant pace along a corridor, where characters could briefly appear from side doorways. The participants had to decide whether each character was wearing a helmet or a cap, and then to indicate their degree of confidence. Behavioral data (i.e., response time and degree of confidence) were collected and used by the BCI in addition to the electroencephalography data. Results showed that walking did not produce any negative effect on individual performance, instead improving cBCI/group performance in the task, likely due to increased level of alertness associated with walking. This suggests that cBCIs may work well on a wider range of operating environments than just a lab." @default.
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• W3031570802 date "2022-01-01" @default.
• W3031570802 modified "2023-09-25" @default.
• W3031570802 title "Walking improves the performance of a brain-computer interface for group decision making" @default.
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• W3031570802 doi "https://doi.org/10.1016/b978-0-12-821413-8.00017-8" @default.
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