J. Trafton, J. McCurry, Kevin Zish, Chelsea R. Frazier
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引用次数: 1
Abstract
The perception of agency in human robot interaction has become increasingly important as robots become more capable and more social. There are, however, no accepted or consistent methods of measuring perceived agency; researchers currently use a wide range of techniques and surveys. We provide a definition of perceived agency and from that definition we create and psychometrically validate a scale to measure perceived agency. We then perform a scale evaluation by comparing the PA scale constructed in experiment 1 to two other existing scales. We find that our PA and PA-R (Perceived Agency - Rasch) scales provide a better fit to empirical data than existing measures. We also perform scale validation by showing that our scale shows the hypothesized relationship between perceived agency and morality.
随着机器人的能力和社会性越来越强,在人机交互中的代理感知也变得越来越重要。然而,目前还没有公认的或一致的方法来测量感知代理;研究人员目前使用的技术和调查范围很广。我们提供了感知代理的定义,并根据该定义创建了一个量表来测量感知代理,该量表还经过了心理测试验证。然后,我们将实验 1 中构建的 PA 量表与其他两个现有量表进行比较,从而对量表进行评估。我们发现,与现有量表相比,我们的 PA 和 PA-R(感知代理-拉施)量表能更好地贴合经验数据。我们还对量表进行了验证,表明我们的量表显示了感知代理与道德之间的假设关系。
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.