IVE – Information Visualization Evaluation

The Information Visualization Evaluation (IVE) Symposium is dedicated to advancing methodologies for assessing information visualization tools and techniques. Incorporating contemporary themes, including the integration of Artificial Intelligence (AI), the symposium aims to foster discussions and share insights on effective evaluation strategies in the evolving landscape of information visualization.

Symposium Themes:

• Empirical Studies in Visualization Evaluation:
• • Investigations into user requirements and interactions with AI-enhanced visualization tools.
  • Comparative analyses of traditional versus AI-driven visualization techniques.
• Evaluation Metrics and Methodologies:
• • Development of standardized metrics for assessing the efficacy of AI-integrated visualizations.
  • Innovative approaches to benchmarking and performance measurement.
• AI in Visualization Evaluation:
  • Utilizing AI to automate and enhance the evaluation process.
  • Assessing the impact of machine learning algorithms on user comprehension and decision-making.
• User-Centered Design and Interaction:
  • Evaluating the usability and accessibility of interactive visualization systems.
  • Studies on user engagement and experience with AI-powered visualization interfaces.
• Emerging Technologies and Applications:
  • Assessment of visualizations in Virtual Reality (VR), Augmented Reality (AR), and immersive environments.
  • Evaluations focusing on domain-specific applications, such as healthcare, finance, and education.

Please check the submission procedures @ the submission page.

General enquiries and submissions should be addressed to the Conference Co-ordinator.

Symposium-specific enquiries should be addressed to: