Methods of Measuring Trust in Automation: A Narrative Review of Existing Methods

Spencer Christian Kohn

Advisor: Tyler H. Shaw, PhD, Department of Psychology

Committee Members: Ewart de Visser, Eva Wiese, Yi-Ching Lee

Online Location, Online
September 01, 2020, 12:00 PM to 02:00 PM


This narrative review addresses methods used to capture trust in automation by examining measurements deployed in existing empirical works, categorizing those measures, and examining them within the context of existing models of trust. The resulting work provides a reference tool for researchers, providing a list of all available trust-in-automation measurement methods along with the model-derived construct that they capture. Furthermore, recommendations are provided on how to improve the current state of trust-in-automation measurement.