The Future of Visualization Dashboards in the Age of Generative AI

2026-09-28

AI Summary

This study investigates whether visualization dashboards will persist, how they will evolve, and how human roles will transform in the era of generative AI. Employing a qualitative research paradigm, the authors conduct in-depth interviews and consultations with global experts to analyze the technological convergence of multimodal interactions, including natural language processing, graphical controls, and gestural interfaces. The findings demonstrate that dashboards will evolve into adaptive, multimodal configurations rather than become obsolete. Furthermore, this work reveals the mechanisms through which AI-driven automated authorship shifts human responsibility, emphasizing the indispensable role of humans in defining requirements and validating outcomes. Finally, it proposes seven future research directions encompassing verification, education, and organizational governance, offering a theoretical framework and practical guidance for addressing emerging challenges such as content proliferation and the erosion of shared understanding.

Abstract

Generative AI promises easier dashboard creation, raising questions about the future of dashboards and the people who create and use them. We interviewed 16 experts based in 14 countries about their practices and expectations. Almost all expected dashboards to persist for recurring questions, monitoring, and reporting. They anticipated adaptive views and combinations of language, graphical controls, and gestures, while emphasizing interaction as part of human exploration and understanding. Participants expected authors'responsibilities to shift toward specifying requirements, curating generated work, and evaluating outputs, with design knowledge and communication remaining important. Easier creation also raised concerns about validation effort, users'understanding, maintenance, and personalization weakening shared understanding. We discuss seven opportunities for research and practice concerning validation, end-user education, dashboard proliferation and rot, organizational guidance, adaptation, novel visualizations, and accountability for AI-generated content. Our findings connect dashboard evolution with the human and organizational work needed to sustain their use.

Problem

• Generative AI
• Visualization Dashboards
• Dashboard Creation
• Human-AI Interaction
• Accountability

Innovation

• Generative AI
• Visualization Dashboards
• Adaptive Views
• Multimodal Interaction
• Human-AI Collaboration