Low-rank human-like agents are trusted more and blamed less in human-autonomy teaming.

If humans are to team with artificial teammates, factors that influence trust and shared accountability must be considered when designing agents. This study investigates the influence of anthropomorphism, rank, decision cost, and task difficulty on trust in human-autonomous teams (HAT) and how blame is apportioned if shared tasks fail. Participants ( = 31) completed repeated trials with an artificial teammate using a low-fidelity variation of an air-traffic control game.