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Association for the Advancement of Artificial Intelligence

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ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik’s Cube with Automatic Solving and Interactive Explanations

Authors

Kausik Lakkaraju

University of South Carolina


Thahimum Hassan

University of South Carolina


Vedant Khandelwal

University of South Carolina


Prathamjeet Singh

University of South Carolina


Cassidy Bradley

University of South Carolina


Ronak Shah

University of South Carolina


Forest Agostinelli

University of South Carolina


Biplav Srivastava

University of South Carolina


Dezhi Wu

University of South Carolina


Proceedings:

No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations

Volume

Issue:

Proceedings of the AAAI Conference on Artificial Intelligence, 36

Track:

AAAI Demonstration Track

Downloads:

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Abstract:

Modern artificial intelligence (AI) methods have been used to solve problems that many humans struggle to solve. This opens up new opportunities for knowledge discovery and education. We demonstrate ALLURE, an educational AI system for learning to solve the Rubik’s cube that is designed to help students improve their problem solving skills. ALLURE can both find and explain its own strategies for solving the Rubik’s cube as well as build on user-provided strategies. Collaboration between AI and user happens using visual and natural language modalities.

DOI:

10.1609/aaai.v36i11.21722


AAAI

Proceedings of the AAAI Conference on Artificial Intelligence, 36