ArticleScientific reports2022
Interaction with a reactive partner improves learning in contrast to passive guidance.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Haptic interaction with a human partner for ankle training in chronic stroke: a pilot study.Journal of neuroengineering and rehabilitation · 2025Trial
- Haptic feedback in violin education as a case study of robotic exoskeleton-mediated motor learning.Scientific reports · 2026Article
- Collaborative AI for precision neurorehabilitation: a roadmap.Journal of neuroengineering and rehabilitation · 2025Review
- Partner familiarity enhances performance in a manual precision task.Scientific reports · 2025Article
- Extended Reality Biofeedback for Functional Upper Limb Weakness: Mixed Methods Usability Evaluation.JMIR XR and spatial computing · 2025Article
- Haptic communication and interpersonal dynamics in hand-by-hand guided locomotion in children and adults.Frontiers in bioengineering and biotechnology · 2025Article
- During haptic communication, the central nervous system compensates distinctly for delay and noise.PLoS computational biology · 2024Article
- Expressivity attributed to music affects the smoothness of bowing movements in violinists.Scientific reports · 2024Article
- Potential benefits of synchronous action observation and motor imagery: a commentary on Eaves et al. 2022.Psychological research · 2024Review
- The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task.Sensors (Basel, Switzerland) · 2024Article
- Can Training Make Three Arms Better Than Two Heads for Trimanual Coordination?IEEE open journal of engineering in medicine and biology · 2023Article
- Teaching Motor Skills Without a Motor: A Semi-Passive Robot to Facilitate Learning.IEEE transactions on hapticsArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Many tasks such as physical rehabilitation, vehicle co-piloting or surgical training, rely on physical assistance from a partner. While this assistance may be provided by a robotic interface, how to implement the necessary haptic support to help improve performance without impeding learning is unclear. In this paper, we study the influence of haptic interaction on the performance and learning of a shared tracking task. We compare in a tracking task the interaction with a human partner, the trajectory guidance traditionally used in training robots, and a robot partner yielding human-like interaction. While trajectory guidance resulted in the best performance during training, it dramatically reduced error variability and hindered learning. In contrast, the reactive human and robot partners did not impede the adaptation and allowed the subjects to learn without modifying their movement patterns. Moreover, interaction with a human partner was the only condition that demonstrated an improvement in retention and transfer learning compared to a subject training alone. These results reveal distinctly different learning behaviour in training with a human compared to trajectory guidance, and similar learning between the robotic partner and human partner. Therefore, for movement assistance and learning, algorithms that react to the user's motion and change their behaviour accordingly are better suited.
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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.