PDF(Pubmed)
Abstract：
The present research is innovative as we followed a user-centered approach to implement and train two working memory architectures on an industrial RB-KAIROS + robot: GRU, a state-of-the-art architecture, and WorkMATe, a biologically-inspired alternative. Although user-centered approaches are essential to create a comfortable and safe HRI, they are still rare in industrial settings. Closing this research gap, we conducted two online user studies with large heterogeneous samples. The major aim of these studies was to evaluate the RB-KAIROS + robot\'s appearance, movements, and perceived memory functions before (User Study 1) and after the implementation and training of robot working memory (User Study 2). In User Study 1, we furthermore explored participants\' ideas about robot memory and what aspects of the robot\'s movements participants found positive and what aspects they would change. The effects of participants\' demographic background and attitudes were controlled for. In User Study 1, participants\' overall evaluations of the robot were moderate. Participant age and negative attitudes toward robots led to more negative robot evaluations. According to exploratory analyses, these effects were driven by perceived low experience with robots. Participants expressed clear ideas of robot memory and precise suggestions for a safe, efficient, and comfortable robot navigation which are valuable for further research and development. In User Study 2, the implementation of WorkMATe and GRU led to more positive evaluations of perceived robot memory, but not of robot appearance and movements. Participants\' robot evaluations were driven by their positive views of robots. Our results demonstrate that considering potential users\' views can greatly contribute to an efficient and positively perceived robot navigation, while users\' experience with robots is crucial for a positive HRI.
摘要：
本研究是创新的，因为我们遵循以用户为中心的方法来实现和训练工业RB-KAIROS+机器人上的两种工作记忆架构：GRU，最先进的建筑，和WorkMATe,受生物启发的替代品。尽管以用户为中心的方法对于创建舒适和安全的HRI至关重要，它们在工业环境中仍然很少见。缩小这个研究差距，我们对大量异质样本进行了两项在线用户研究.这些研究的主要目的是评估RB-KAIROS+机器人的外观，运动,和感知记忆功能之前（用户研究1）和机器人工作记忆的实施和训练（用户研究2）。在用户研究1中，我们进一步探索了参与者关于机器人记忆的想法，以及参与者发现机器人运动的哪些方面是积极的，他们会改变哪些方面。参与者的人口统计学背景和态度的影响得到了控制。在用户研究1中，参与者对机器人的总体评价是中等的。参与者的年龄和对机器人的消极态度导致了更多负面的机器人评价。根据探索性分析，这些影响是由感知到的低机器人体验驱动的。参与者表达了对机器人记忆的清晰想法和对保险箱的精确建议，高效,和舒适的机器人导航，这对进一步的研究和开发是有价值的。在用户研究2中，WorkMATe和GRU的实施导致对感知的机器人记忆的更积极的评价，但不是机器人的外观和动作。参与者对机器人的评价是由他们对机器人的积极看法驱动的。我们的结果表明，考虑到潜在用户的意见可以大大有助于有效和积极感知机器人导航，而用户对机器人的体验对于积极的HRI至关重要。
