Towards natural language interfaces for data visualization: A survey

L Shen, E Shen, Y Luo, X Yang, X Hu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

Ai4vis: Survey on artificial intelligence approaches for data visualization

A Wu, Y Wang, X Shu, D Moritz, W Cui… - … on Visualization and …, 2021 - ieeexplore.ieee.org
Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

Accessible visualization via natural language descriptions: A four-level model of semantic content

A Lundgard, A Satyanarayan - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Natural language descriptions sometimes accompany visualizations to better communicate
and contextualize their insights, and to improve their accessibility for readers with …

A review of recent deep learning approaches in human-centered machine learning

T Kaluarachchi, A Reis, S Nanayakkara - Sensors, 2021 - mdpi.com
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …

Towards natural language-based visualization authoring

Y Wang, Z Hou, L Shen, T Wu, J Wang… - … on Visualization and …, 2022 - ieeexplore.ieee.org
A key challenge to visualization authoring is the process of getting familiar with the complex
user interfaces of authoring tools. Natural Language Interface (NLI) presents promising …

A survey on ML4VIS: Applying machine learning advances to data visualization

Q Wang, Z Chen, Y Wang, H Qu - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Inspired by the great success of machine learning (ML), researchers have applied ML
techniques to visualizations to achieve a better design, development, and evaluation of …

How accessible is my visualization? Evaluating visualization accessibility with Chartability

F Elavsky, C Bennett, D Moritz - Computer Graphics Forum, 2022 - Wiley Online Library
Novices and experts have struggled to evaluate the accessibility of data visualizations
because there are no common shared guidelines across environments, platforms, and …

[HTML][HTML] A survey on automatic infographics and visualization recommendations

S Zhu, G Sun, Q Jiang, M Zha, R Liang - Visual Informatics, 2020 - Elsevier
Automatic infographics generators employ machine learning algorithms/user-defined rules
and visual embellishments into the creation of infographics. It is an emerging topic in the …

Data player: Automatic generation of data videos with narration-animation interplay

L Shen, Y Zhang, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Data visualizations and narratives are often integrated to convey data stories effectively.
Among various data storytelling formats, data videos have been garnering increasing …

Kori: Interactive synthesis of text and charts in data documents

S Latif, Z Zhou, Y Kim, F Beck… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Charts go hand in hand with text to communicate complex data and are widely adopted in
news articles, online blogs, and academic papers. They provide graphical summaries of the …