Empirically And Theoretically Driven Scales On Automation Trust: A Multi-Level Confirmatory Factor Analysis

Abstract

Automation is used to complete a variety of everyday and professional tasks. Trust has been shown to be a critical factor that contributes to successful human-automation interaction. Modern theories of automation trust adapted theories of interpersonal trust and have been tested in a variety of domains. Specifically, a triadic model of trust, with performance, process, and purpose as factors, has emerged. From this theory, Chancey et al. (2017) adapted Madsen and Gregor’s (2000) trust scale to align with Lee and See’s (2004) trust framework. Conversely, Jian et al. (2000) developed a scale empirically with trust and distrust as factors. This study aims to use questionnaire data from previous experiments to explore the relationship between the empirically driven Jian et al. trust scale and the theoretically driven Chancey et al. trust scale. We will perform a multilevel confirmatory factor analysis (CFA) to test the distinctiveness of the two trust measures, as well as their structures and the correlation between the measures. The findings of this work will help researchers understand the relationship between the two trust scales, assess if Jian et al.’s scale contains a three-factor structure, and provide more information about the psychological structure of automation trust.