Introducing SMRTT: A Structural Equation Model of Multimodal Real-Time Trust

Advances in autonomous technology have led to an increased interest in human-autonomy interactions. Generally, the success of these interactions is measured by the joint performance of the AI and the human operator. This performance depends, in part, on the operator having appropriate, or calibrated, trust of the autonomy. Optimizing the performance of human-autonomy teams therefore partly relies on the modeling and measuring of human trust. Theories and models have been developed on the factors influencing human trust in order to properly measure it. However, these models often rely on self-report rather than more objective, and real-time behavioral and physiological data. This paper seeks to build off of theoretical frameworks of trust by adding objective data to create a model capable of finer grain temporal measures of trust. Presented herein is SMRTT: SEM of Multimodal Real Time Trust. SMRTT leverages Structured Equation Modeling (SEM) techniques to arrive at a real time model of trust. Variables and factors from previous studies and existing theories are used to create components of SMRTT. The value of adding physiological data to the models to create real-time monitoring is discussed along with future plans to validate this model.