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Evaluation of Non-collocated Force Feedback Driven by BCI-Based Noisy Signals
Darrel R. Deo, Zonghe Chua, and Allison M. Okamura
(Stanford University, USA)
WIP Poster B6
Publisher's Version
Abstract: Brain-computer interfaces (BCIs) can measure movement-related neural activity and decode it into command signals that drive external devices. These command signals are usually biased with neural decoder noise. Haptic feedback is an emerging feedback modality for BCIs, and it is unknown how users execute tasks given haptic feedback driven by noisy command signals. We propose an experiment that measures task performance while a user is provided with non-collocated haptic feedback with varying magnitudes of noise. Our preliminary results point to performance degradation with increasing magnitude of noise. The results also suggest that users change their search strategy depending on the amount of noise. A formal user study is planned for future work.


Time stamp: 2020-02-23T12:18:49+01:00