Modeling the Impacts of Positive Interaction Frequency on Subjective Trust in an Autonomous Agent: A Linear Mixed Model Approach

Abstract

With the advancement of technology, automation has rapidly embedded itself in many parts of daily function. As a result, it is imperative to understand the processes in which individuals use and develop trust with automation. Specifically, how this relationship is formed and how it evolves over time. Previous research has theorized that the frequency and the positivity of interaction with automated systems is a prominent influencer in the creation of trust. In the present study, we examined subjective trust ratings when participants performed a pattern recognition task with an autonomous agent which varied in positivity and number of interactions. Results showed that positivity amongst other parameters were significant predictors of subjective trust when analyzed using linear mixed models.