论文标题
部分可观测时空混沌系统的无模型预测
Transferring Studies Across Embodiments: A Case Study in Confusion Detection
论文作者
论文摘要
人机研究的进行昂贵和难以控制，因此，研究人员有时转向人与阿瓦塔尔相互作用，以期可以更快，更便宜的数据收集可以转移到机器人域。就我们的工作而言，我们对在互动中检测和建模用户混乱的挑战特别感兴趣，作为该研究计划的一部分，我们进行了对话研究，以调查用户在物理和虚拟环境中都会带来的混乱场景中的反应。在本文中，我们介绍了这些研究以及我们在这两个实施方案中观察到的结果的综合综述。对于物理实施例，我们使用了胡椒机器人，而对于虚拟方式，我们使用了3D头像。我们的研究表明，尽管态度差异和技术控制局限性，但在实施方案中，用户行为和自我报告结果发现了许多相似之处。这项工作表明，尽管阿凡达相互作用并不能真正代替机器人相互作用研究，但在研究设计中的足够护理可能会允许执行良好的人类阿瓦塔尔研究来补充更具挑战性的人类机器人研究。
Human-robot studies are expensive to conduct and difficult to control, and as such researchers sometimes turn to human-avatar interaction in the hope of faster and cheaper data collection that can be transferred to the robot domain. In terms of our work, we are particularly interested in the challenge of detecting and modelling user confusion in interaction, and as part of this research programme, we conducted situated dialogue studies to investigate users' reactions in confusing scenarios that we give in both physical and virtual environments. In this paper, we present a combined review of these studies and the results that we observed across these two embodiments. For the physical embodiment, we used a Pepper Robot, while for the virtual modality, we used a 3D avatar. Our study shows that despite attitudinal differences and technical control limitations, there were a number of similarities detected in user behaviour and self-reporting results across embodiment options. This work suggests that, while avatar interaction is no true substitute for robot interaction studies, sufficient care in study design may allow well executed human-avatar studies to supplement more challenging human-robot studies.
