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arXiv 2103.12702cs.HCcs.RO
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在需要混合现实技术的远程呈现和远程操作中测量操作员绩效的考虑因素和挑战

Considerations and Challenges of Measuring Operator Performance in Telepresence and Teleoperation Entailing Mixed Reality Technologies

School of Informatics, The University of Edinburgh(爱丁堡大学信息学院)

Eleftherios Triantafyllidis, Zhibin Li

摘要:

评估人类在机器人场景中的表现,例如在远程呈现和远程操作中看到的表现,一直是一项具有挑战性的任务。随着最近混合现实技术的激增以及研究人员随后的关注,在阐明人类感知和最大化整体沉浸感方面开辟了新的途径。然而,在HCI和HRI领域内,评估操作员在虚拟环境中的表现的许多不同的评估方法,研究之间的可比性和可移植性是有限的。在这篇简短的论文中,我们简要概述了现有的方法在评估运营商的表现,包括主观和客观的方法,同时也试图捕捉未来的技术挑战和前沿。最终的目标是帮助和精确定位读者对潜在的重要方向,未来希望提供一个统一的沉浸式框架,通过标准化的一套准则和评估方法的遥操作和遥现。

英文摘要:

Assessing human performance in robotic scenarios such as those seen in telepresence and teleoperation has always been a challenging task. With the recent spike in mixed reality technologies and the subsequent focus by researchers, new pathways have opened in elucidating human perception and maximising overall immersion. Yet with the multitude of different assessment methods in evaluating operator performance in virtual environments within the field of HCI and HRI, inter-study comparability and transferability are limited. In this short paper, we present a brief overview of existing methods in assessing operator performance including subjective and objective approaches while also attempting to capture future technical challenges and frontiers. The ultimate goal is to assist and pinpoint readers towards potentially important directions with the future hope of providing a unified immersion framework for teleoperation and telepresence by standardizing a set of guidelines and evaluation methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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