论文标题
有影响力的机器人：评估视觉和音频警告，以帮助用户支撑人体机器人互动的影响
Impactful Robots: Evaluating Visual and Audio Warnings to Help Users Brace for Impact in Human Robot Interaction
论文作者
论文摘要
可穿戴机器人设备有可能协助和保护用户。为了设计智能头盔，本文探讨了音频和视觉警告的有效性，以帮助参与者付出影响。一项用户研究检查了运行时对用户应用的不同警告和影响。从不同的方向应用了缩放到用户质量的扰动力，并测量用户位移以表征警告的有效性。这是使用适合在运动周期中精确矩，向前，向后，右或左侧扰动力来向前，向后，右或左扰动力进行的踏板活动的主隧道来完成的。本文介绍了该系统的概述，并展示了步态过程中精确发出一致警告和扰动的能力。用户研究结果突出了视觉和音频警告的有效性，以帮助用户振作起来，从而导致指南，从而为未来的人类机器人警告系统提供依据。
Wearable robotic devices have potential to assist and protect their users. Toward design of a Smart Helmet, this article examines the effectiveness of audio and visual warnings to help participants brace for impacts. A user study examines different warnings and impacts applied to users while running. Perturbation forces scaled to user mass are applied from different directions and user displacement is measured to characterize effectiveness of the warning. This is accomplished using the TreadPort Active Wind Tunnel adapted to deliver forward, rearward, right, or left perturbation forces at precise moments during the locomotor cycle. The article presents an overview of the system and demonstrates the ability to precisely deliver consistent warnings and perturbations during gait. User study results highlight effectiveness of visual and audio warnings to help users brace for impact, resulting in guidelines that will inform future human-robot warning systems.
