The interplay between haptic guidance and personality traits in robotic-assisted motor learning
Our findings suggest that autotelic personality, Locus of Control, and gaming style modulate motor learning outcomes during robotic-assisted training, affecting both performance and human-robot interaction metrics. This highlights the potential of integrating personality-based adaptations in robot-aided rehabilitation protocols to enhance performance and motor (re)learning. Future works should explore the relationship between personality traits and psychological states (e.g., perceived difficulty, attention) across diverse tasks and guidance methods in clinical populations.
Authors
- Alexis Derumigny (ORCID: https://orcid.org/0000-0002-6163-8097)
- Arkady Zgonnikov (ORCID: https://orcid.org/0000-0002-6593-6948)
- Laura Marchal–Crespo (ORCID: https://orcid.org/0000-0002-8008-5803)
- J. Micah Prendergast (ORCID: https://orcid.org/0000-0002-9888-3133)
- Jane Murray Cramm (ORCID: https://orcid.org/0000-0001-5367-3207)
- Alberto Garzás-Villar
- Caspar Boersma
Institutions
- Erasmus MC (NL)
- Erasmus University Rotterdam (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1186/s12984-025-01709-6
- Primary Topic
- Motor Control and Adaptation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Erasmus Universiteit Rotterdam
- Technische Universiteit Delft