不信任
验证性因素分析
自动化
比例(比率)
心理学
构造(python库)
社会心理学
计算机科学
数据科学
结构方程建模
工程类
机器学习
地理
程序设计语言
机械工程
地图学
心理治疗师
作者
Yusuke Yamani,Shelby K. Long,T Sato,Abby L. Braitman,Michael S. Politowicz,Eric T. Chancey
标识
DOI:10.1177/00187208241263774
摘要
Objective This work examined the relationship of the constructs measured by the trust scales developed by Chancey et al. (2017) and Jian et al. (2000) using a multilevel confirmatory factor analysis (CFA). Background Modern theories of automation trust have been proposed based on data collected using trust scales. Chancey et al. (2017) adapted Madsen and Gregor’s (2000) trust scale to align with Lee and See’s (2004) human–automation trust framework. In contrast, Jian et al. (2000) developed a scale empirically with trust and distrust as factors. However, it remains unclear whether these two scales measure the same construct. Method We analyzed data collected from previous experiments to investigate the relationship between the two trust scales using a multilevel CFA. Results Data provided evidence that Jian et al. (2000) and Chancey et al. (2017) automation trust scales are only weakly related. Trust and distrust are found to be distinct factors in Jian et al.’s (2000) scale, whereas performance, process, and purpose are distinct factors in Chancey et al.’s (2017) trust scale. Conclusion The analysis suggested that the two scales purporting to measure human–automation trust are only weakly related. Application Trust researchers and automation designers may consider using Chancey et al. (2017) and Jian et al. (2000) scales to capture different characteristics of human–automation trust.
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