|Title||Learning Trustworthy Behaviors Using an Inverse Trust Metric|
|Publication Type||Journal Article|
|Year of Publication||2015|
|Authors||Floyd, MW, Drinkwater, M, Aha, DW|
The addition of a robot to a human team can be beneficial if the robot can perform important tasks, provide additional skills, or otherwise help the team achieve its goals. However, if the human team members do not trust the robot they may underutilize it or excessively monitor its behavior. We present an algorithm that allows a robot to estimate its trustworthiness based on interactions with a team member and adapt its behavior in an attempt to increase its trustworthiness. The robot is able to learn as it performs behavior adaptation and increase the efficiency of future adaptation. We compare our approach for inverse trust estimation and behavior adaptation to a variant that does not learn. Our results, in a simulated robotics environment, show that both approaches can identify trustworthy behaviors but the learning approach does so significantly faster.
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