The Effects of Past Experience on Trust in Repeated Human-Agent Teamwork

For human-agent virtual ad hoc teams to be effective, humans must be able to trust their agent counterparts. To earn the human's trust, agents need to quickly develop an understanding of the expectation of human team members and adapt accordingly. This study empirically investigates the impact of past experience on human trust in and behavior towards agent teammates. To do so, we developed a repeated team coordination game, the Game of Trust (GoT), in which two players repeatedly cooperate to complete team tasks without prior assignment of subtasks. The effects of past experience on human trust are evaluated by performing an extensive set of controlled experiments with participants recruited from Amazon Mechanical Turk, a crowdsourcing marketplace. We collect both teamwork performance data as well as surveys to gauge participants' trust in their agent teammates. The results show that positive (negative) past experience increases (decreases) human trust in agent teammates and past experience can affect three antecedents of trust: emotional state, game expertise, and expectation. These findings provide clear and significant evidence of the influence of key factors on human trust in virtual agent teammates and enhance our understanding of the changes in human trust in peer-level agent teammates with respect to past experience.