“谁说的?”态势感知全局评估技术在社交网真中的应用

IF 4.2 Q2 ROBOTICS
Adam K. Coyne, Keshav Sapkota, C. McGinn
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引用次数: 0

摘要

与所有远程控制机器人一样,社交机器人和远程呈现机器人的成功遥操作在很大程度上依赖于操作员的态势感知,然而现有的态势感知测量大多是为军事目的而创建的,不适应社会互动的背景。我们提出了一种基于广泛接受的态势感知全局评估技术(SAGAT)的客观远程呈现评估技术,并进行了调整以适应社会环境。在一项受试者之间的参与者研究中(n = 56),比较了在模拟的社交远程呈现场景中,机器人远程操作过程中单声和空间(双耳)音频反馈对操作员情境感知的影响。主观数据也被记录下来,包括改编自Witmer和Singer的存在问卷的问题,以及参与者的定性反馈。在态势感知测量中没有发现显著差异,但观察到的测量之间的相关性需要进一步研究。本研究及其发现为社会情境感知评估技术的发展提供了一个潜在的起点,可以为未来的社交和远程呈现机器人设计决策提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“Who said that?” Applying the Situation Awareness Global Assessment Technique to Social Telepresence
As with all remotely-controlled robots, successful teleoperation of social and telepresence robots relies greatly on operator situation awareness, however existing situation awareness measurements, most being originally created for military purposes, are not adapted to the context of social interaction. We propose an objective technique for telepresence evaluation based on the widely-accepted Situation Awareness Global Assessment Technique (SAGAT), adjusted to suit social contexts. This was trialled in a between-subjects participant study (n = 56), comparing the effect of mono and spatial (binaural) audio feedback on operator situation awareness during robot teleoperation in a simulated social telepresence scenario. Subjective data was also recorded, including questions adapted from Witmer and Singer’s Presence Questionnaire, as well as qualitative feedback from participants. No significant differences in situation awareness measurements were detected, however correlations observed between measures call for further research. This study and its findings are a potential starting point for the development of social situation awareness assessment techniques, which can inform future social and telepresence robot design decisions.
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来源期刊
ACM Transactions on Human-Robot Interaction
ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence
CiteScore
7.70
自引率
5.90%
发文量
65
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.
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