Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust

Mark Adamik, Asger Printz Madsen, Matthias Rehm · 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) · 2022

In order to test how explanations affect a user working together with a collaborative robot, we created a test scenario where a user sorts trash together with a collaborative robot. Sometimes the robot is not able to fulfill its part of the task. Different modalities (textual, graphical, both) for explaining this error to the user are tested in a between subjects design and the effects on task performance, cognitive load and trust are analyzed.

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