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Visual Analytics (VA) tools provide ways for users to harness insights andknowledge from datasets. Recalling and retelling user experiences whileutilizing VA tools has attracted significant interest. Nevertheless, each usersessions are unique. Even when different users have the same intention whenusing a VA tool, they may follow different paths and uncover differentinsights. Current methods of manually processing such data to recall and retellusers' knowledge discovery paths may also be time-consuming, especially whenthere is the need to present users' findings to third parties. This paperpresents a novel system that collects user intentions, behavior, and insightsduring knowledge discovery sessions, automatically structure the data, andextracts narrations of knowledge discovery as PowerPoint slide decks. Thesystem is powered by a Knowledge Graph designed based on a formal andreproducible modeling process. To evaluate our system, we have attached it totwo existing VA tools where users were asked to perform pre-defined tasks.Several slide decks and other analysis metrics were extracted from thegenerated Knowledge Graph. Experts scrutinized and confirmed the usefulness ofour automated process for using the slide decks to disclose knowledge discoverypaths to others and to verify whether the VA tools themselves were effective.

Knowledge-Decks: Automatically Generating Presentation Slide Decks of Visual Analytics Knowledge Discovery Applications