延伸,推,拉:智能手机在空间增强现实中通过直观模式切换的交互作用

Jeremy J. Hartmann, Aakar Gupta, Daniel Vogel
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引用次数: 5

摘要

我们研究了如何使用智能手机来调解空间增强现实(SAR)中基于智能手机的内容的操纵。这里的一个主要挑战是将手机从智能手机无缝转换为SAR控制器。大多数用户都熟悉手伸作为SAR遥控的一种方式。因此,我们建议将手伸作为一种直观的模式切换机制,用于在移动交互模式和空间交互模式之间来回切换。基于这种直观的模式切换,我们的技术使用户能够将智能手机内容推送到外部SAR环境,与外部内容交互,旋转-缩放-翻译,并将内容拉回智能手机,同时确保移动交互与空间交互不冲突。为了确保手伸展作为模式切换的可行性,我们根据手机相对于用户头部的相对3D位置,在不同的用户姿势、表面距离和目标位置下,评估智能手机的伸展和收缩状态分类。结果表明,随机森林分类器对扩展状态和收缩状态的分类准确率平均为96%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extend, Push, Pull: Smartphone Mediated Interaction in Spatial Augmented Reality via Intuitive Mode Switching
We investigate how smartphones can be used to mediate the manipulation of smartphone-based content in spatial augmented reality (SAR). A major challenge here is in seamlessly transitioning a phone between its use as a smartphone to its use as a controller for SAR. Most users are familiar with hand extension as a way for using a remote control for SAR. We therefore propose to use hand extension as an intuitive mode switching mechanism for switching back and forth between the mobile interaction mode and the spatial interaction mode. Based on this intuitive mode switch, our technique enables the user to push smartphone content to an external SAR environment, interact with the external content, rotate-scale-translate it, and pull the content back into the smartphone, all the while ensuring no conflict between mobile interaction and spatial interaction. To ensure feasibility of hand extension as mode switch, we evaluate the classification of extended and retracted states of the smartphone based on the phone’s relative 3D position with respect to the user’s head while varying user postures, surface distances, and target locations. Our results show that a random forest classifier can classify the extended and retracted states with a 96% accuracy on average.
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