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

Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu

[AAAI-22] Demonstrations

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Poster Session 4 @ Blue 1, Poster Session 11 @ Blue 1, Poster Session 4, Poster Session 11

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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.

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  • Poster Session 4

    Fri, February 25 5:00 PM - 6:45 PM (+00:00)
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  • Poster Session 11

    Mon, February 28 12:45 AM - 2:30 AM (+00:00)
    Blue 1
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