Vasudev S. Mallan, Syam Gopi, A. Muir, R. R. Bhavani
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This research explores the ease of use and effectiveness in controlling a UGV by benchmarking a tilt-based HRI (on the ROS Control app) with the more established joystick and button based HRI on a gamepad. A 40-person usability study using both devices in Gazebo, a robotic simulated environment, was conducted. Performance metrics (time on task and lane deviations) were measured, to indicate effectiveness. However, the statistical analysis conducted using Wilcoxon Signed Rank test shows a significant difference in the use of both the input devices in controlling a UGV favoring the gamepad. 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引用次数: 2
摘要
现在可以使用免费的智能手机应用程序(如ROS control)来控制无人地面车辆(UGV)。智能手机提供了这种低成本和易于获得的人机界面(HRI),可以通过倾斜手势控制机器人。然而,倾斜手势并不用于更常见的UGV控制设备,如操纵杆和基于按钮的游戏手柄。倾斜手势在控制ugv方面的有效性尚未得到研究。如果它们是有效的,那么运行ROS Control等应用程序的智能手机的低成本和高可用性可以在发展中国家的HRI和UGV控制设备领域产生巨大变化。它们可以坚固耐用,成本低,更为普通民众所熟悉——这些因素可以帮助印度采用机器人技术。本研究通过对基于倾斜的HRI(在ROS Control应用程序上)与手柄上更成熟的操纵杆和基于按钮的HRI进行基准测试,探索了控制UGV的易用性和有效性。在机器人模拟环境Gazebo中使用这两种设备进行了一项40人的可用性研究。测量了性能指标(完成任务的时间和车道偏差),以表明有效性。然而,使用Wilcoxon Signed Rank测试进行的统计分析显示,在使用这两种输入设备来控制UGV时,偏好手柄的情况有显著差异。然而,大多数参与者表示,基于倾斜的应用程序更容易控制,易用性也更高。
Comparative empirical usability assessment of two HRI input devices for a mobile robot
It is now possible to control an Unmanned Ground Vehicle (UGV) with a free smartphone app such as ROS Control. Smartphones offer such low cost and easily available human-robot interface (HRI) controlling robots with tilt gestures. However, tilt gestures are not used in the more commonly available UGV control devices, such as joystick and button based gamepads. Tilt gestures have not been studied in terms of their effectiveness for controlling UGVs. If they are effective, then the low cost and high availability of smartphones running apps such as ROS Control can make a huge change in the world of HRI and control devices for UGV for the developing world. They can be ruggedized and are low cost, and more familiar to the general populace — which are factors that can help the adoption of robotics in India. This research explores the ease of use and effectiveness in controlling a UGV by benchmarking a tilt-based HRI (on the ROS Control app) with the more established joystick and button based HRI on a gamepad. A 40-person usability study using both devices in Gazebo, a robotic simulated environment, was conducted. Performance metrics (time on task and lane deviations) were measured, to indicate effectiveness. However, the statistical analysis conducted using Wilcoxon Signed Rank test shows a significant difference in the use of both the input devices in controlling a UGV favoring the gamepad. However, most of the participants report the tilt based app as more controllable and highly usable.