ArticleJournal of neurophysiology2023
Physically interacting humans regulate muscle coactivation to improve visuo-haptic perception.
Article in Journal of neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed, 32 citations in OpenAlex.
- Haptic interaction with a human partner for ankle training in chronic stroke: a pilot study.Journal of neuroengineering and rehabilitation · 2025Trial
- Article
- Model predictive game control for personalized and targeted interactive assistance.Communications engineering · 2026Article
- Entropy-dependent human motor modulation consistent with morphological computation in a single subject.Frontiers in robotics and AI · 2026Article
- Partner-sourced haptic feedback rather than environmental inputs drives coordination improvement in human dyadic collaboration.Scientific reports · 2025Article
- Human impedance modulation to improve visuo-haptic perception.PLoS computational biology · 2025Article
- Monolithic electrostatic actuators with independent stiffness modulation.Nature communications · 2025Article
- Co-contraction embodies uncertainty: An optimal feedforward strategy for robust motor control.PLoS computational biology · 2024Article
- During haptic communication, the central nervous system compensates distinctly for delay and noise.PLoS computational biology · 2024Article
- Article
- Motor Learning in Robot-Based Haptic Dyads: A Review.IEEE transactions on hapticsReview
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When moving a piano or dancing tango with a partner, how should I control my arm muscles to sense their movements and follow or guide them smoothly? Here we observe how physically connected pairs tracking a moving target with the arm modify muscle coactivation with their visual acuity and the partner's performance. They coactivate muscles to stiffen the arm when the partner's performance is worse and relax with blurry visual feedback. Computational modeling shows that this adaptive sensing property cannot be explained by the minimization of movement error hypothesis that has previously explained adaptation in dynamic environments. Instead, individuals skillfully control the stiffness to guide the arm toward the planned motion while minimizing effort and extracting useful information from the partner's movement. The central nervous system regulates muscle activation to guide motion with accurate task information from vision and haptics while minimizing the metabolic cost. As a consequence, the partner with the most accurate target information leads the movement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.