首页> 外文会议>IEEE International Conference on Embedded and Real-Time Computing Systems and Applications >Exploring Augmented Reality Interaction for Everyday Multipurpose Wearable Robots
【24h】

Exploring Augmented Reality Interaction for Everyday Multipurpose Wearable Robots

机译:探索日常多用途可穿戴机器人的增强现实互动

获取原文

摘要

Multipurpose wearable robots are an emerging class of devices, which offer intriguing interaction potential. The interoperability of multipurpose wearable robots and other types of wearable devices remains largely uninvestigated. We take the first steps to bridge this gap by presenting a framework for integrating augmented reality (AR) and multipurpose wearable robots. Our framework uses the publisher-subscriber model to expose different robot functionalities as services on a network. These can be invoked by the AR system. This model is advantageous in coping with different robot morphologies and various interaction methods. We implemented a prototype system using our framework by integrating an AR head-mounted display (HMD) and a wrist-worn robot, and demonstrate four experiences utilizing our prototype solution: 1) Robot status display, 2) shape-changing menus, 3) a media player and 4) a robot pose controller. To evaluate our approach, we performed a user study, which gauged user impressions and usability of developed experiences. Results indicate that our approach was well received, though participants highlighted a number of challenges in AR tracking when interacting within some of the experiences. Lastly, we discuss limitations and future research direction for our project.
机译:多功能可穿戴机器人是一种新兴的设备,其提供有趣的相互作用潜力。多功能可穿戴机器人和其他类型的可穿戴设备的互操作性仍然在很大程度上是未取消的。我们采取第一个步骤来通过呈现用于集成增强现实(AR)和多功能可穿戴机器人的框架来弥合这一差距。我们的框架使用Publisher用户模型将不同的机器人功能暴露为网络上的服务。这些可以由AR系统调用。该模型有利于应对不同的机器人形态和各种相互作用方法。我们通过集成AR头戴式显示器(HMD)和手腕磨损机器人来实现使用我们的框架的原型系统,并展示使用我们的原型解决方案的四个经验:1)机器人状态显示,2)形状变化菜单,3)媒体播放器和4)机器人姿势控制器。为了评估我们的方法,我们执行了一个用户学习,该学习,衡量的用户印象和开发经验的可用性。结果表明,我们的方法受到了很好的收到,尽管参与者在一些经验中互动时突出了AR跟踪的许多挑战。最后,我们讨论了我们项目的局限性和未来的研究方向。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号