Suppr超能文献

虚拟与真实环境中的训练。

Training in virtual and real environments.

作者信息

Kenyon R V, Afenya M B

机构信息

Department of Electrical Engineering and Computer Science, University of Illinois at Chicago 60607, USA.

出版信息

Ann Biomed Eng. 1995 Jul-Aug;23(4):445-55. doi: 10.1007/BF02584444.

Abstract

Transfer of training between real and virtual environments was examined using a pick-and place task with two different difficulty levels. The task was to minimize the time to move cans from one color coded location in the first row to the same color coded location in the back row and then to reverse the process. In the first task, the front and back disk colors were aligned, and in the second disk order, the front and back disk colors were randomly placed on the table. Subjects trained in one environment were then tested in the other and their performance compared with that of subjects being trained in that environment. Some virtual world-trained subjects showed small but significant improvement in performance compared with the untrained subjects for the real world task for both disk arrangements. The differences in performance between the two groups decreased with trial number until no difference was seen at the end of the sessions. None of the real world-trained subjects showed any significant improvement when performing the task in the virtual world compared with the untrained subjects. These results suggest that transfer-of-training from virtual to real world tasks can take place under certain conditions.

摘要

使用一个具有两种不同难度级别的拾取和放置任务,研究了真实环境和虚拟环境之间的训练迁移情况。任务是尽量缩短将罐子从第一排的一个颜色编码位置移动到后排相同颜色编码位置,然后再反过来的时间。在第一个任务中,前后圆盘颜色对齐,在第二个圆盘排列中,前后圆盘颜色随机放置在桌子上。在一种环境中接受训练的受试者随后在另一种环境中进行测试,并将他们的表现与在该环境中接受训练的受试者进行比较。对于两种圆盘排列,一些接受虚拟世界训练的受试者在执行真实世界任务时,与未训练的受试者相比,表现出了虽小但显著的提高。两组之间的表现差异随着试验次数的增加而减小,直到在训练结束时没有差异。与未训练的受试者相比,在真实世界中接受训练的受试者在虚拟世界中执行任务时,没有表现出任何显著的提高。这些结果表明,在某些条件下,可以发生从虚拟到真实世界任务的训练迁移。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验