Evaluating ChatGPT to Support Data Visualization Design

Large language models (LLMs) can help retrieve information to answer questions, construct images and audio, and assist in complex activities such as data visualization design. The latter requires specific knowledge that can be found on the internet and therefore used to train LLMs. This work investigates the ability of ChatGPT to assist in data visualization design. We conduct a metrics-based evaluation of the model and plan to expand it to understand the views of users who create visualizations, whether they are experts or not.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.5753/ihc_estendido.2024.242031
Primary Topic
Data Stream Mining Techniques
Type
article
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article

Evaluating ChatGPT to Support Data Visualization Design

Simone Diniz Junqueira Barbosa, George Moreno de Oliveira
Data Stream Mining Techniques
article

Evaluating ChatGPT to Support Data Visualization Design

Simone Diniz Junqueira Barbosa, George Moreno de Oliveira
article en

Abstract

Large language models (LLMs) can help retrieve information to answer questions, construct images and audio, and assist in complex activities such as data visualization design. The latter requires specific knowledge that can be found on the internet and therefore used to train LLMs. This work investigates the ability of ChatGPT to assist in data visualization design. We conduct a metrics-based evaluation of the model and plan to expand it to understand the views of users who create visualizations, whether they are experts or not.

Pontifícia Universidade Católica do Rio de Janeiro (BR)
Quality Education
Openalex Percentile: Top 84%
Data Stream Mining Techniques
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