Caspar Boersma
Papers
1
Total Citations
4
H-Index
1
About
Caspar Boersma’s research lies at the intersection of motor learning, human-robot interaction, and personalized rehabilitation. His work focuses on understanding how individual differences—particularly personality traits—influence the effectiveness of robotic assistance during motor training. In his most-cited study, “Personality Traits Modulate the Effect of Haptic Guidance During Robotic-Assisted Motor Training” (2024, 4 citations), Boersma demonstrated that tailoring haptic guidance to a trainee’s personality can significantly enhance motor learning outcomes, offering a novel pathway for customizing rehabilitation protocols. This contribution is pivotal for advancing adaptive robotic systems that cater to the unique needs of patients recovering from neurological injuries or stroke. By bridging psychology and robotics, Boersma’s research underscores the importance of personalization in motor (re)learning, with potential to improve clinical efficacy and user engagement. His work has been recognized for its interdisciplinary approach, and he continues to explore how cognitive and behavioral factors shape human-robot collaboration, aiming to make robotic-assisted training more intuitive and effective for diverse populations.
Research Focus
Key Achievements
Top Papers
- 1