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

Human-Computer Interaction;Information Retrieval