Sense of Agency in Closed-loop Muscle Stimulation

Fuente: arXiv
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Auteurs principaux: Gehrke, Lukas, Terfurth, Leonie, Gramann, Klaus
Format: Preprint
Publié: 2024
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author Gehrke, Lukas
Terfurth, Leonie
Gramann, Klaus
author_facet Gehrke, Lukas
Terfurth, Leonie
Gramann, Klaus
contents To maintain a user's sense of agency (SoA) when working with a physical motor augmentation device, the actuation must align with the user's intentions. In experiments, this is often achieved using stimulus-response paradigms where the motor augmentation can be optimally timed. However, in the everyday world users primarily act at their own volition. We designed a closed-loop system for motor augmentation using an EEG-based brain-computer interface (BCI) to cue users' volitional finger tapping. Relying on the readiness potentials, the system autonomously cued the finger movement at the time of the intent to interact via electrical muscle stimulation (EMS). The prototype discriminated pre-movement from idle EEG segments with an average F1 score of 0.7. However, we found only weak evidence for a maintained SoA. Still, participants reported a higher level of control when working with the system instead of being passively moved.
format Preprint
id arxiv_https___arxiv_org_abs_2409_16896
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Sense of Agency in Closed-loop Muscle Stimulation
Gehrke, Lukas
Terfurth, Leonie
Gramann, Klaus
Human-Computer Interaction
To maintain a user's sense of agency (SoA) when working with a physical motor augmentation device, the actuation must align with the user's intentions. In experiments, this is often achieved using stimulus-response paradigms where the motor augmentation can be optimally timed. However, in the everyday world users primarily act at their own volition. We designed a closed-loop system for motor augmentation using an EEG-based brain-computer interface (BCI) to cue users' volitional finger tapping. Relying on the readiness potentials, the system autonomously cued the finger movement at the time of the intent to interact via electrical muscle stimulation (EMS). The prototype discriminated pre-movement from idle EEG segments with an average F1 score of 0.7. However, we found only weak evidence for a maintained SoA. Still, participants reported a higher level of control when working with the system instead of being passively moved.
title Sense of Agency in Closed-loop Muscle Stimulation
topic Human-Computer Interaction
url https://arxiv.org/abs/2409.16896