AI-Driven User Interface Design for Solving a Rubik’s Cube: A Scaffolding Design Perspective
Document Type
Article
Abstract
In this paper, we describe an AI-driven platform, ALLURE, with an embodied chatbot that teaches the user how to solve a Rubik’s Cube. Our AI algorithm consists of macro-actions, which refer to a set of moves that are not transparent or usable to users as a black box. Through the integration of explainable AI and conversational user interface designs, we created a novel AI-driven visual user interface inspired by scaffolding design paradigms to engage users. We conducted a set of initial usability testing with ten users, and usability findings imply some important AI-driven user interface designs to engage users for problem solving.
Digital Object Identifier (DOI)
Publication Info
Published in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022, pages 490-498.
APA Citation
Wu, D., Tang, H., Bradley, C., Capps, B., Singh, P., Wyandt, K., Wong, K., Irvin, M., Agostinelli, F., & Srivastava, B. (2022). AI-Driven User Interface Design for Solving a Rubik’s Cube: A Scaffolding Design Perspective. Lecture Notes in Computer Science, 490–498.https://doi.org/10.1007/978-3-031-17615-9_34
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