Human-computer interaction and visualization in natural language generation models: applications, challenges, and opportunities

Puntos clave

• Human-computer interaction enhances the effectiveness of natural language generation models, resulting in better user engagement and satisfaction.
• Visual representation techniques may significantly improve the interpretation of textual data generated by machine learning algorithms, leading to streamlined workflows.
• This analysis employs a theoretical model to examine the complexities of integrating visualization in natural language generation systems across various applications.
• Findings indicate a need for continued exploration of opportunities and challenges in human-computer interaction, particularly regarding usability and accessibility.