# Narvis: Authoring Narrative Slideshows for Introducing Data   Visualization Designs

**Authors:** Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu

arXiv: 1907.05609 · 2019-08-21

## TL;DR

Narvis is a specialized slideshow tool designed to help data visualization experts create tutorials that effectively introduce complex visual designs to non-expert audiences, enhancing understanding and learning.

## Contribution

The paper introduces Narvis, a novel authoring tool tailored for explaining data visualizations to non-experts, with automatic component detection and structured slideshow creation.

## Key findings

- Narvis improves the efficiency of creating visualization tutorials.
- Users find Narvis helpful for organizing and explaining complex visual components.
- Preliminary evaluations suggest Narvis enhances understanding of data visualizations.

## Abstract

Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools are tailored for this purpose. In this study, we present Narvis, a slideshow authoring tool designed for introducing data visualizations to non-experts. Narvis targets two types of end-users: teachers, experts in data visualization who produce tutorials for explaining a data visualization, and students, non-experts who try to understand visualization designs through tutorials. We present an analysis of requirements through close discussions with the two types of end-users. The resulting considerations guide the design and implementation of Narvis. Additionally, to help teachers better organize their introduction slideshows, we specify a data visualization as a hierarchical combination of components, which are automatically detected and extracted by Narvis. The teachers craft an introduction slideshow through first organizing these components, and then explaining them sequentially. A series of templates are provided for adding annotations and animations to improve efficiency during the authoring process. We evaluate Narvis through a qualitative analysis of the authoring experience, and a preliminary evaluation of the generated slideshows.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1907.05609/full.md

## References

42 references — full list in the complete paper: https://tomesphere.com/paper/1907.05609/full.md

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Source: https://tomesphere.com/paper/1907.05609