基于服务机器人属性的人类亲近感偏好探索性研究

S. Samarakoon, M. Muthugala, A. Jayasekara, M. R. Elara
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引用次数: 14

摘要

具有社会交互能力的服务机器人对于满足新兴机器人应用领域的需求至关重要。服务机器人在执行服务任务时,经常需要与用户进行交互。在这些交互过程中,用户的舒适度取决于人与机器人的亲近感。因此,服务机器人应该能够保持适当的距离,以提高用户的舒适度。用户的亲近感偏好可能取决于机器人的各种属性,如情绪状态、噪音水平和物理外观。因此,更好地理解影响人机接近行为的机器人属性是至关重要的。本文旨在探索性地分析机器人属性对人-机器人近身行为偏好的影响;面部和声音的情绪,内部噪音的程度,以及外表。进行了四个子研究,以收集所需的人机接近学数据。收集到的数据已经通过统计检验进行了分析。测试数据表明,机器人的面部和声音情绪、内部噪音水平和物理外观对人类的接近偏好有显著影响。这一探索性研究的结果将有助于设计和开发服务机器人的人机接近策略,以增强社会互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Exploratory Study on Proxemics Preferences of Humans in Accordance with Attributes of Service Robots
Service robots that possess social interactive capabilities are vital to cater to the demand in emerging domains of robotic applications. A service robot frequently needs to interact with users when performing service tasks. The comfortability of users depends on the human-robot proxemics during these interactions. Hence, a service robot should be capable of maintaining proper proxemics that improves the comfort of users. The proxemics preferences of users might depend on diverse attributes of a robot, such as emotional state, noise level, and physical appearance. Therefore, it is vital to gain a better understanding of a robot’s attributes which influence human-robot proxemics behavior. This paper contributes to an exploratory study to analyze the effects on human-robot proxemics preferences due to a robot’s attributes; facial and vocal emotions, level of internal noises, and the physical appearance. Four sub-studies have been conducted to gather the required human-robot proxemics data. The gathered data have been analyzed through statistical tests. The test statistics reveal that facial and vocal emotions, internal noise level, and the physical appearance of a robot have significant effects on proxemics preferences of humans. The outcomes of this exploratory study would be useful in designing and developing human-robot proxemics strategies of a service robot that would enhance social interaction.
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