Analysis of facial expressions explain affective state and trust-based decisions during interaction with autonomy

Abstract

Trust is a critical factor in the development and maintenance of effective human-autonomy teams. As such, new processes are needed to classify affective state change that could be related to either an accurate or a misaligned change in trust that occurs during collaboration. The task for the current study was a leader-follower, simulated driving task with two different types of driving autonomy, and two different levels of reliability. Facial expression was evaluated to gauge group differences in affect-based trust. Results indicated that the participant sample was best described by four distinct group clusters who varied in their level of subjective trust and facial expressivity.