增强现实在人群互动中的有效性

S. Sachidanandam, S. Honarvar, Y. Diaz-Mercado
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引用次数: 1

摘要

人群交互(Human-Swarm Interaction, HSI)是群体机器人中一个快速发展的研究领域。HSI的一个具有挑战性的方面是促进人类有效地处理机器人群体中存在的许多自由度。一个紧急的选择是使用增强现实(AR)系统来编码信息。基于AR的界面可以为人类操作员提供关于蜂群状态和控制的视觉线索,以促进决策。在研究环境中,AR系统可以解决诸如实验室空间有限、机器人资源有限以及机器人和人类可以互动的模拟动态环境的需求等问题。此外,为了使群体机器人更容易获得和无处不在,支持远程交互的HSI系统将允许人类与机器人群体和多机器人系统进行交互,而不管人类与群体之间的地理距离。考虑到这些因素,我们的目标是研究基于AR的接口作为HSI系统中远程交互工具的有效性。我们开发了一个简单的基于AR的界面,并通过远程人类用户研究来评估其与非增强界面的有效性,其中人类操作员将通过视频通话远程控制一组机器人。我们的研究结果表明,在执行导航任务时,增强功能可以提高控制精度,减少碰撞安全违规。通过实验调查表明,具有不同机器人水平和技术经验的操作员绝大多数更喜欢增强界面,以方便群体控制。这些结果表明,基于ar的界面可以有效地改善远程HSI的控制体验。
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Effectiveness of Augmented Reality for Human Swarm Interactions
Human-Swarm Interaction (HSI) is a fast-growing research area in swarm robotics. One challenging aspect of HSI is facilitating effective handling of the many degrees-of-freedom present in robot swarms by humans. One emergent option is the use of Augmented Reality (AR) systems to encode information. AR based interfaces can help provide human operators with visual cues about the swarm's states and control to facilitate decision-making. In research settings, AR systems can address issues such as limited availability of lab spaces, limited access to robotics resources, and the need for the ability to simulate dynamic environments with which robots and humans can interact. Further, to make swarm robotics more accessible and ubiquitous, HSI systems that support remote interaction would allow humans to interact with robot swarms and multi-robot systems regardless of the geographical distance between humans and swarms. Taking these into consideration, we aim to investigate the effectiveness of AR based interfaces as tools for remote interaction in HSI systems. We developed a simple AR based interface and evaluated its effectiveness against an unaugmented interface, by means of remote human user studies where a human operator would control a team of robots remotely through a video call. Our finding suggests that augmentation can improve control accuracy and reduce collision safety violations when performing navigation tasks. Through experimental surveys, it is shown that operators with varying levels of robotics and technology experience overwhelmingly prefer the augmented interface to facilitate swarm control. These results suggest that AR-based interfaces are effective in improving the control experience in remote HSI.
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