Understandable robots - What, Why, and How

Thomas Hellström, Suna Bensch

Paladyn Journal of Behavioral Robotics · 2018 · 132 citations · 47 references

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TL;DR

Robots are increasingly autonomous, creating a need for humans to comprehend their actions and intentions, and communicative actions are designed to reduce mismatches between robot and human mental models. The study investigates the components of robot understanding and proposes a model and guiding questions to design robots that support human comprehension. The authors formally define understanding and communicative actions, then present a novel interaction model that employs first- or higher-order theory of mind to enable mutual understanding through communicative actions, including simpler static actions.

Abstract

Abstract As robots become more and more capable and autonomous, there is an increasing need for humans to understand what the robots do and think. In this paper, we investigate what such understanding means and includes, and how robots can be designed to support understanding. After an in-depth survey of related earlier work, we discuss examples showing that understanding includes not only the intentions of the robot, but also desires, knowledge, beliefs, emotions, perceptions, capabilities, and limitations of the robot. The term understanding is formally defined, and the term communicative actions is defined to denote the various ways in which a robot may support a human’s understanding of the robot. A novel model of interaction for understanding is presented. The model describes how both human and robot may utilize a first or higher-order theory of mind to understand each other and perform communicative actions in order to support the other’s understanding. It also describes simpler cases in which the robot performs static communicative actions in order to support the human’s understanding of the robot. In general, communicative actions performed by the robot aim at reducing the mismatch between the mind of the robot, and the robot’s inferred model of the human’s model of the mind of the robot. Based on the proposed model, a set of questions are formulated, to serve as support when developing and implementing the model in real interacting robots.

References

47