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Abstract
While collaborating as a team, team members usually have positive or negative experiences witheach other. In this work, we consider a human-robot team to measure how the robot can assess a
human based on the interactions. We present an interaction model of a robot’s trust in the human
by assessing whether the robot has a positive or a negative experience with the human. This model
defines a psychological trust-building model which translates to a computationally accessible format.
We hypothesize predictors of a positive experience with the human and derive trust for individual
humans. As the number of interactions increases, team members develop a certain level of belief and
affinity to work together. The affinity towards the human can be measured as kinship. We also present
how kinship affects trust, distrust and uncertainty.