The relativity of reaching: Motion of the touched surface alters the trajectory of hand movements

For dexterous control of the hand, humans integrate sensory information and prior knowledge regarding their bodies and the world. We studied the role of touch in hand motor control by challenging a fundamental prior assumption—that self-motion of inanimate objects is unlikely upon contact. In a reac...

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Veröffentlicht in:iScience 2024-06, Vol.27 (6), p.109871-109871, Article 109871
Hauptverfasser: Ryan, Colleen P., Ciotti, Simone, Balestrucci, Priscilla, Bicchi, Antonio, Lacquaniti, Francesco, Bianchi, Matteo, Moscatelli, Alessandro
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Sprache:eng
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Zusammenfassung:For dexterous control of the hand, humans integrate sensory information and prior knowledge regarding their bodies and the world. We studied the role of touch in hand motor control by challenging a fundamental prior assumption—that self-motion of inanimate objects is unlikely upon contact. In a reaching task, participants slid their fingertips across a robotic interface, with their hand hidden from sight. Unbeknownst to the participants, the robotic interface remained static, followed hand movement, or moved in opposition to it. We considered two hypotheses. Either participants were able to account for surface motion or, if the stationarity assumption held, they would integrate the biased tactile cues and proprioception. Motor errors consistent with the latter hypothesis were observed. The role of visual feedback, tactile sensitivity, and friction was also investigated. Our study carries profound implications for human-machine collaboration in a world where objects may no longer conform to the stationarity assumption. [Display omitted] •Objects are generally stationary and humans use this assumption in sensorimotor tasks•Violation of this assumption during a reaching task produced systematic motor errors•Tactile sensitivity and visual feedback modulate the motor errors•Errors can be explained by model assuming integration of somatosensory and visual cues Sensory neuroscience; Cognitive neuroscience; Computing methodology
ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2024.109871