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Data from: Robot-mediated haptic feedback outperforms vision in violin duo coordination

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DataCite Commons2026-04-28 更新2026-05-03 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.xksn02vv9
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Joint actions among humans rely on the integration of multiple sensory modalities, most notably auditory and visual cues, which support explicit communication between partners. However, haptic feedback provides a direct, implicit channel for sensorimotor communication, and its contribution to fine motor coordination in joint actions remains largely unexplored. Here, we demonstrate that haptic communication, rendered through bidirectionally coupled wearable robots, outperforms traditional auditory-visual feedback in a complex and challenging real-life joint action: ensemble violin performance. First, we developed a pair of 2-degree-of-freedom upper-limb exoskeletons capable of transparently following violinists’ natural movements and rendering viscoelastic torques proportional to the joint angular deviation between the partners. Then, we designed a within-subject experiment with twenty violin duos performing a musical piece under four sensory feedback conditions: auditory (A), auditory-visual (AV), auditory-haptic (AH), and auditory-visual-haptic (AVH), across two tempi (72, 100 bpm). Despite the musicians being unfamiliar with the robot-mediated haptic feedback and unaware of the bidirectional connection between them, haptic feedback (AH, AVH) significantly enhanced spatiotemporal coordination and dynamic musical alignment compared to the extensively trained auditory-visual feedback (A, AV). Notably, the multisensory feedback condition AVH yielded the highest scores across all measures. Our findings demonstrate that haptic feedback can support fine motor coordination in violin duo performance more effectively than visual cues, particularly for professional musicians, due to its implicit and embodied nature, and that it can be effectively delivered via wearable robots, paving the way for new paradigms in human-human sensorimotor interactions.
提供机构:
Dryad
创建时间:
2026-04-28
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