Machines As Social Entities (MASE) Scale: Validation of a New Scale Measuring Beliefs in the Sociality of Intelligent Machine Agents

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Joo-Wha Hong
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引用次数: 0

Abstract

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.
机器作为社会实体(MASE)量表:一个衡量智能机器代理社会性信念的新量表的验证
研究人员研究人类和机器代理之间的社会关系面临着一系列障碍,主要是由于缺乏适当的研究工具。为了解决这种对测量工具包的需求,本文研究了机器作为社会实体(MASE)量表的开发和验证。创建MASE是为了衡量人们对机器代理作为社会实体的信念。探索性因子分析(EFA)和验证性因子分析(CFA)等一系列研究的结果表明,MASE是一种可靠有效的测量方法。然后讨论了秤的潜在用途。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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