Purdue Research Foundation

Jingyu Shi

Karthik Ramani

Rahul Jain

A learning system is disclosed that leverages intention-driven causality to enhance skill learning. The learning system enables an author to easily develop mixed reality (MR) tutorial content for performing a task that advantageously captures causal relationships between steps and, thus, enables such causality to be conveyed to the novice user when learning how to perform the task. To this end, the learning system leverages a novel hierarchical representation of causality and intention alongside a systematic workflow suitable for designing skill learning content. By preserving and presenting causal information to the novice user, the user can better understand not only the steps required to perform a task, but also why each step is performed.

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West Lafayette, IN, United States of America

Jingyu Shi