Visual error augmentation enhances learning in three dimensions
- PMID: 21096938
- PMCID: PMC9131847
- DOI: 10.1109/IEMBS.2010.5627545
Visual error augmentation enhances learning in three dimensions
Abstract
Recent human motor learning and neuro-rehabilitation experiments have identified the benefits of assisting the learning process by artificially enhancing the errors one might experience. A yet untested question is just how far the nervous system will trust such treatments, especially in transformations with very large sensorimotor discrepancies. Our study asked 10 healthy subjects to perform targeted reaching in a virtual reality environment, where the transformation of the hand position matrix was a complete reversal - rotated 180 degrees about an arbitrary axis (hence 2 of the 3 coordinates are reversed). Our data show that after 500 practice trials, subject who received 2x Error Augmentation (EA) were able to reach their desired target 0.4 seconds more quickly and with a Maximum Perpendicular Trajectory deviation of 0.9 cm less, when compared to the control group. Furthermore, the manner in which subjects practiced was influenced by the error augmentation, resulting in more continuous motions for this group. These data further support that this type of enhancement, as well as possibly other distorted reality methods, may promote more complete adaptation/learning when compared to regular training.
Figures
References
-
- Patton J, Wei Y, Scharver C, Kenyon RV, and Scheidt R. Motivating rehabilitation by distorting reality. In The first IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2006), Pisa, Italy, pages 20–22, 2006.
-
- Patton JL and Mussa-Ivaldi FA. Robot-assisted adaptive training: custom force fields for teaching movement patterns. IEEE Transactions on Biomedical Engineering, 51(4):636–646, 2004. - PubMed
-
- Wei Y, Bajaj P, Scheidt R, and Patton J. Visual error augmentation for enhancing motor learning and rehabilitative relearning. In IEEE International Conference on Rehabilitation Robotics, pages 505–510, 2005.
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources