Ai4vis: Survey on artificial intelligence approaches for data visualization
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 …
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …
Accessible visualization: Design space, opportunities, and challenges
Visualizations are now widely used across disciplines to understand and communicate data.
The benefit of visualizations lies in leveraging our natural visual perception. However, the …
The benefit of visualizations lies in leveraging our natural visual perception. However, the …
Chartqa: A benchmark for question answering about charts with visual and logical reasoning
Charts are very popular for analyzing data. When exploring charts, people often ask a
variety of complex reasoning questions that involve several logical and arithmetic …
variety of complex reasoning questions that involve several logical and arithmetic …
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 …
and contextualize their insights, and to improve their accessibility for readers with …
Chart-to-text: A large-scale benchmark for chart summarization
Charts are commonly used for exploring data and communicating insights. Generating
natural language summaries from charts can be very helpful for people in inferring key …
natural language summaries from charts can be very helpful for people in inferring key …
Rich screen reader experiences for accessible data visualization
Current web accessibility guidelines ask visualization designers to support screen readers
via basic non‐visual alternatives like textual descriptions and access to raw data tables. But …
via basic non‐visual alternatives like textual descriptions and access to raw data tables. But …
Chartocr: Data extraction from charts images via a deep hybrid framework
Chart images are commonly used for data visualization. Automatically reading the chart
values is a key step for chart content understanding. Charts have a lot of variations in style …
values is a key step for chart content understanding. Charts have a lot of variations in style …
Supporting accessible data visualization through audio data narratives
Online data visualizations play an important role in informing public opinion but are often
inaccessible to screen reader users. To address the need for accessible data …
inaccessible to screen reader users. To address the need for accessible data …
Answering questions about charts and generating visual explanations
People often use charts to analyze data, answer questions and explain their answers to
others. In a formative study, we find that such human-generated questions and explanations …
others. In a formative study, we find that such human-generated questions and explanations …
Chart mining: A survey of methods for automated chart analysis
Charts are useful communication tools for the presentation of data in a visually appealing
format that facilitates comprehension. There have been many studies dedicated to chart …
format that facilitates comprehension. There have been many studies dedicated to chart …