Research Article
Learning and Long-Term Retention of a Complex Sensorimotor Task Within an Immersive Virtual Reality Environment in a Non-Injured Population
@ARTICLE{10.4108/eai.27-12-2017.153512, author={Amanda E. Markham and Kathrine A. Haluch and Trevor B. Viboch and John-David Collins and Pinata H. Sessoms}, title={Learning and Long-Term Retention of a Complex Sensorimotor Task Within an Immersive Virtual Reality Environment in a Non-Injured Population}, journal={EAI Endorsed Transactions on Serious Games}, volume={4}, number={13}, publisher={EAI}, journal_a={SG}, year={2017}, month={12}, keywords={CAREN, Immersive Virtual Reality Environment, Task-Specific Training, Retention, Operational Tasks, Learning.}, doi={10.4108/eai.27-12-2017.153512} }- Amanda E. Markham
Kathrine A. Haluch
Trevor B. Viboch
John-David Collins
Pinata H. Sessoms
Year: 2017
Learning and Long-Term Retention of a Complex Sensorimotor Task Within an Immersive Virtual Reality Environment in a Non-Injured Population
SG
EAI
DOI: 10.4108/eai.27-12-2017.153512
Abstract
Task-specific training in immersive virtual reality environments (IVREs) can provide practice for skills that are transferred to real-world settings. The present study examined skill acquisition and retention of a non-injured population performing a complex, sensorimotor navigation task in the Computer Assisted Rehabilitation Environment (CAREN). Seventeen subjects participated twice weekly for 6 weeks, with follow-up visits at 3-month intervals for 1 year. Subjects performed a navigation task, where they drove a virtual boat through a scene using weight shifting and body movement. Subjects improved over time on all outcome measures. A significant effect was observed for visit number on total score, time to complete the task, number of buoys navigated successfully, and number of penalties incurred. Task-specific training in IVREs may be effective for operational skills training and rehabilitation of injured populations by employing tasks that lead to long-term retention.
Copyright © 2017 Amanda E. Markham et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
