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Recent advances in the areas of human-robot interaction (HRI) and robotautonomy are changing the world. Today robots are used in a variety ofapplications. People and robots work together in human autonomous teams (HATs)to accomplish tasks that, separately, cannot be easily accomplished. Trustbetween robots and humans in HATs is vital to task completion and effectiveteam cohesion. For optimal performance and safety of human operators in HRI,human trust should be adjusted to the actual performance and reliability of therobotic system. The cost of poor trust calibration in HRI, is at a minimum, lowperformance, and at higher levels it causes human injury or critical taskfailures. While the role of trust calibration is vital to team cohesion it isalso important for a robot to be able to assess whether or not a human isexhibiting signs of mistrust due to some other factor such as anger,distraction or frustration. In these situations the robot chooses not tocalibrate trust, instead the robot chooses to respect trust. The decision torespect trust is determined by the robots knowledge of whether or not a humanshould trust the robot based on its actions(successes and failures) and itsfeedback to the human. We show that the feedback in the form of trustcalibration cues(TCCs) can effectively change the trust level in humans. Thisinformation is potentially useful in aiding a robot it its decision to respecttrust.

Trust Calibration and Trust Respect: A Method for Building Team Cohesion in Human Robot Teams