Haptic cues for effective learning in 3D maze navigation

G. Sepúlveda-Cervantes, Vicente Parra‐Vega, O. Dominguez-Ramirez
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引用次数: 10

Abstract

Navigation in 3D virtual environment is a popular task in modern 3D applications. The main information is visual, which leads to an incomplete acknowledgement of the virtual environment, since other senses are impaired, such as touch or hearing. Haptic devices provides kinesthetic information which may improve the navigation capabilities of humans in virtual environments, however 3D haptic applications use intensive low level programming languages. This paper presents a 3D maze haptic navigation based on kinesthetic perception of the walls of the maze, wherein the walls surface have different properties, thus a learning haptic process enables better navigation skills after few trials. Experimental results done with a test users group, is realized with Novint as the haptic device and Panda3D as the haptic rendering system. Results with and without haptic cues indicates a successful learning curve to navigate with haptic cues. The haptic cues used are surface texture, viscosity, elasticity, shape recognition and external force. The results highlight the importance of haptic cues as navigation reference to improve the performance of the users.
3D迷宫导航中有效学习的触觉线索
在三维虚拟环境中导航是现代三维应用中的一个热门任务。主要信息是视觉的,这导致对虚拟环境的不完全认识,因为其他感官受损,如触觉或听觉。触觉设备提供的动觉信息可以提高人类在虚拟环境中的导航能力,然而3D触觉应用使用密集的低级编程语言。本文提出了一种基于对迷宫墙壁的动觉感知的三维迷宫触觉导航,其中墙壁表面具有不同的性质,因此通过学习触觉过程可以在少量的尝试后获得更好的导航技能。以Novint为触觉设备,Panda3D为触觉渲染系统,在一个测试用户组中完成了实验结果。有和没有触觉提示的结果表明了用触觉提示导航的成功学习曲线。使用的触觉线索是表面纹理、粘度、弹性、形状识别和外力。结果强调了触觉提示作为导航参考对提高用户性能的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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