社会性
比例(比率)
验证性因素分析
度量(数据仓库)
探索性因素分析
计算机科学
数据科学
机器学习
人工智能
心理学
数据挖掘
结构方程建模
生态学
物理
量子力学
生物
标识
DOI:10.1177/08944393231167211
摘要
Researchers examining the social relationship between humans and machine agents have been faced with a series of obstacles, mainly due to the lack of appropriate study tools. To address this need for measurement toolkits, this article examines the development and validation of the Machines As Social Entities (MASE) scale. MASE was created to measure people’s beliefs in machine agents as social entities. Together, the results from a series of studies, including exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), demonstrate that the MASE is a reliable and valid measure. Potential uses of the scales are then discussed.
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