一种通用体积触觉驱动平台

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Patrick Coe, Grigori Evreinov, Mounia Ziat, Roope Raisamo
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引用次数: 0

摘要

在本文中,我们报告了一种实现通用体积触觉驱动平台的方法,该平台可以适应各种平面视觉显示。该平台旨在实现输入界面三维特征的仿真。这一目标是使用四个现成的步进电机在对角线交叉配置,我们可以快速改变一个表面的位置,以一种方式,可以渲染这些体积特征。在我们的研究中,我们使用放置在触觉增强驱动平台上的Microsoft Surface Go平板电脑来复制触摸屏上显示的虚拟键盘键帽的探索功能。我们要求7名参与者探索由12个键帽组成的虚拟键盘的表面。作为第二个任务,随机的关键位置一次宣布一个,参与者需要找到。这些实验被用来理解在没有视觉反馈和触觉反馈的情况下,体积反馈如何以及以何种保真度提高检测特定键帽位置的性能(检测时间、轨迹长度和错误率)。参与者非常成功地完成了任务(p <0.05)。此外,他们感觉凸键帽的能力在主观评论中得到了证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Universal Volumetric Haptic Actuation Platform
In this paper, we report a method of implementing a universal volumetric haptic actuation platform which can be adapted to fit a wide variety of visual displays with flat surfaces. This platform aims to enable the simulation of the 3D features of input interfaces. This goal is achieved using four readily available stepper motors in a diagonal cross configuration with which we can quickly change the position of a surface in a manner that can render these volumetric features. In our research, we use a Microsoft Surface Go tablet placed on the haptic enhancement actuation platform to replicate the exploratory features of virtual keyboard keycaps displayed on the touchscreen. We ask seven participants to explore the surface of a virtual keypad comprised of 12 keycaps. As a second task, random key positions are announced one at a time, which the participant is expected to locate. These experiments are used to understand how and with what fidelity the volumetric feedback could improve performance (detection time, track length, and error rate) of detecting the specific keycaps location with haptic feedback and in the absence of visual feedback. Participants complete the tasks with great success (p < 0.05). In addition, their ability to feel convex keycaps is confirmed within the subjective comments.
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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