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：
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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