Interaction Spaces Between Human and Mobile Autonomous Systems

人类与移动自治系统之间的交互空间

• 批准号: 453461364
• 负责人: Professor Dr. Klaus Bengler
• 金额: --
• 依托单位: Lehrstuhl für Ergonomie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/453461364?language=en
• 关键词: Interaction; Spaces; Between; Human; Mobile

Autonomous mobile systems (from German: sabeS) have long ceased to exist exclusively in an industrial context, and are playing an increasingly important role in everyday situations. Not only explicit interactions between humans and sabeS increase, but also random encounters. The subject of this research proposal is the exploration of plannable motion sequences, which a sabeS should show to solve spatial conflict situations with human actors efficiently and satisfactorily. Such conflict situations are a common problem, considering, for example, the use of autonomous delivery robots in public spaces. Based on findings from research in proxemics, the research project presented here aims to identify interaction spaces surrounding the human in which a sabeS should show either long-term predictable or short-term avoidance manoeuvres to enhance safety, efficiency and satisfaction.A first question relates to the description of these short-term and long-term interaction spaces and the question of whether they can be better described by a temporal or spatial dependence. The long-term interaction space is characterized by greater distances between the actors and thus a higher time budget. A sabeS should accordingly adapt the intended trajectory as a function of the probable trajectory of the human being. By contrast, the short-term interaction space is characterized by shorter distances and a correspondingly shorter time budget. While currently a simple stop of the sabeS is being implemented to prevent collisions, recent findings show that efficiency and satisfaction can be increased by more meaningful movement patterns. Such short-term movement patterns are subject to further development and verification in this research project.The geometric shape and extent of the postulated long and short-term interaction spaces of humans will be investigated in dependence on the characteristics of the approaching sabeS. Size, shape and speed can play a role, as well as the angle from which a sabeS approaches the human. Also, human characteristics shall be included. Personal characteristics such as age, mental model of the approaching sabeS, and possible distractions in the environment could affect the extension and shape of the interaction spaces.The planned research project envisages the inclusion of simulation studies (virtual reality) as well as real-world and field experiments. For this purpose, a mobile robot is to be built on a modular platform that is suitable for field experiments. The results obtained will allow to draw conclusions on a novel movement design for sabeS.

自主移动系统（来源于德语：sabeS）早已不再仅仅存在于工业环境中，而是在日常生活中发挥着越来越重要的作用。不仅人类和大象之间的明确互动增加了，而且随机相遇也增加了。本研究计划的主题是探索可规划的运动序列，这是一个机器人应该展示的，以有效和满意地解决与人类演员的空间冲突情况。这种冲突情况是一个常见的问题，例如，考虑到在公共场所使用自动送货机器人。基于近身学的研究结果，本文提出的研究项目旨在确定人类周围的互动空间，在这些空间中，机器人应该表现出长期可预测的或短期的回避策略，以提高安全性、效率和满意度。第一个问题与这些短期和长期互动空间的描述有关，以及它们是否可以通过时间或空间依赖来更好地描述。长期互动空间的特点是参与者之间的距离更大，因此需要更高的时间预算。因此，机器人应该根据人类可能的轨迹来调整预期的轨迹。相比之下，短期交互空间的特点是距离较短，相应的时间预算也较短。虽然目前正在实施一种简单的停车方式来防止碰撞，但最近的研究结果表明，更有意义的移动模式可以提高效率和满意度。这种短期移动模式有待本研究项目进一步发展和核实。人类长期和短期相互作用空间的几何形状和范围将根据接近的sabe的特征进行研究。大小、形状、速度以及机器人接近人类的角度都能发挥作用。此外，还应包括人的特点。个人特征，如年龄、接近的桌子的心理模型以及环境中可能的干扰都会影响互动空间的扩展和形状。计划中的研究项目设想包括模拟研究（虚拟现实）以及现实世界和实地实验。为此，需要在适合现场实验的模块化平台上构建移动机器人。所获得的结果将允许得出结论，一个新的运动设计的sabeS。