Nathan Tsoi, Rachel Sterneck, Xuan Zhao, Marynel Vázquez
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To investigate this question, we conducted a 2x2 between-subjects study (N=160), which evaluated the effect of the interaction environment (Real vs. Simulated environment) and participants’ interactivity during human-robot encounters (Interactive participation vs. Video observations) on perceptions about a robot (competence, discomfort, social presentation, and social information processing) for the task of navigating in concert with people. We also studied participants’ workload across the experimental conditions. Our results revealed a significant difference in the perceptions of the robot between the real environment and the simulated environment. Furthermore, our results showed differences in human perceptions when people watched a video of an encounter versus taking part in the encounter. Finally, we found that simulated interactions and videos of the simulated encounter resulted in a higher workload than real-world encounters and videos thereof. 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引用次数: 0
摘要
在人机交互中,研究人员通常利用面对面研究来收集对机器人的主观感受。此外,互动视频和互动模拟(参与者控制虚拟世界中与机器人互动的化身)也被用来快速收集大规模的人类反馈。在这些方法之间,人类对机器人的感知如何比较?为了探究这个问题,我们进行了一项 2x2 主体间研究(N=160),评估了交互环境(真实环境 vs. 模拟环境)和参与者在人机交互过程中的交互性(交互式参与 vs. 视频观察)对机器人感知(能力、不适感、社交表现和社交信息处理)的影响,以便完成与人协同导航的任务。我们还研究了参与者在不同实验条件下的工作量。我们的结果表明,在真实环境和模拟环境中,人们对机器人的感知存在明显差异。此外,我们的结果还显示,当人们观看相遇视频与参与相遇时,人类对机器人的感知存在差异。最后,我们发现模拟交互和模拟交锋视频比真实交锋及其视频产生的工作量更大。我们的研究结果表明,视频和模拟方法的研究结果不一定总能转化为现实世界中的人机交互。为了让从业人员能够利用本研究的知识,并让未来的研究人员能够扩展我们在这一领域的知识,我们提供了权衡不同方法的指导原则。
Influence of Simulation and Interactivity on Human Perceptions of a Robot During Navigation Tasks
In Human-Robot Interaction, researchers typically utilize in-person studies to collect subjective perceptions of a robot. In addition, videos of interactions and interactive simulations (where participants control an avatar that interacts with a robot in a virtual world) have been used to quickly collect human feedback at scale. How would human perceptions of robots compare between these methodologies? To investigate this question, we conducted a 2x2 between-subjects study (N=160), which evaluated the effect of the interaction environment (Real vs. Simulated environment) and participants’ interactivity during human-robot encounters (Interactive participation vs. Video observations) on perceptions about a robot (competence, discomfort, social presentation, and social information processing) for the task of navigating in concert with people. We also studied participants’ workload across the experimental conditions. Our results revealed a significant difference in the perceptions of the robot between the real environment and the simulated environment. Furthermore, our results showed differences in human perceptions when people watched a video of an encounter versus taking part in the encounter. Finally, we found that simulated interactions and videos of the simulated encounter resulted in a higher workload than real-world encounters and videos thereof. Our results suggest that findings from video and simulation methodologies may not always translate to real-world human-robot interactions. In order to allow practitioners to leverage learnings from this study and future researchers to expand our knowledge in this area, we provide guidelines for weighing the tradeoffs between different methodologies.
期刊介绍:
ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain.
THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.