Partner familiarity enhances performance in a manual precision task

Partner familiarity enhances performance in a manual precision task

Abstract Understanding human collaborative behavior in tasks with physical interaction is essential for advancing physical human-robot collaboration. Investigating how individuals learn to collaborate over repeated interactions can provide valuable insights for developing robotic agents capable of g...

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Bibliographic Details
Main Authors: Johannes Heidersberger, Jakob Kaiser, Shail Jadav, Lucija Mihić Zidar, Arianna Curioni, Leif Johannsen, Dongheui Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Partner familiarity
Collaborative learning
Joint action
Human-human interaction
Online Access:https://doi.org/10.1038/s41598-025-03341-9
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https://doi.org/10.1038/s41598-025-03341-9

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