Cognitive-motor performance assessment during inperson and remote practice of action sequences
NER(2023)
摘要
The development and use of virtual systems to learn and perform remotely complex action sequences has many applications from rehabilitation to military training. The examination of human cognitive- motor control and learning processes in individuals executing a task physically in-person and remotely via a virtual system can help with the design of such systems as well as inform human performance. An important application of such virtual systems is the remote assessment of cognitive-motor performance and learning for the neurorehabilitation of individuals with neural deficits (e.g., Veterans). This study is a first step that examined performance, mental workload, and fatigue in healthy individuals during remote practice of action sequences compared to physical in-person training. Here individuals were either required to practice an action sequence task physically (in the lab) or remotely (outside the lab) via a virtual system. Action sequence performance, mental workload and fatigue were collected for both remote and physical practice. Findings suggest that remote training via a virtual system improved performance and reduced mental workload leading to enhanced cognitive-motor efficiency similarly to physical practice, while limited practice-induced fatigue effects were observed. To extend this study, future work will consider varying interface characteristics and using EEG with various healthy and clinical populations.
更多查看译文
关键词
Remote practice,Remote task performance,Virtual systems,Action sequence,Mental workload,Tower of Hanoi
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要