Robots that Help Humans Build Better Mental Models of Robots

Authors

  • Preeti Ramaraj University of Michigan

Keywords:

Human-robot Interaction, Mental Models, Cognitive Architectures, Human-Computer Interaction

Abstract

Interactive Task Learning (ITL) is an approach to teaching robots new tasks through language and demonstration. It relies on the fact that people have experience teaching each other. However, this can be challenging if the human instructor does not have an accurate mental model of a robot. This mental model consists of the robot’s knowledge, capabilities, shortcomings, goals, and intentions. The research question that I investigate is “How can the robot help the human build a better mental model of the robot?”

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Published

2021-05-18

How to Cite

Ramaraj, P. (2021). Robots that Help Humans Build Better Mental Models of Robots. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15730-15731. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17862

Issue

Section

The Twenty-Sixth AAAI/SIGAI Doctoral Consortium