Living Dashboards: Automatically Self-Updating Visualization Dashboards

๐Ÿ“… 2026-10-06
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๐Ÿค– AI Summary
This study addresses the disconnection between static structures and dynamic data in visualization dashboards, which limits their responsiveness to novel queries. To overcome this limitation, we propose an adaptive dashboard system that introduces a lifecycle mechanism governing the creation, evolution, and retirement of views, alongside a four-dimensional design space. By integrating natural language processing with user behavior monitoring algorithms, the system enables automated view reconstruction driven by both user interactions and natural language queries. Experimental evaluations demonstrate that the proposed approach significantly improves task accuracy, effectively reduces cognitive load, and achieves higher usability ratings compared to conventional methods.
๐Ÿ“ Abstract
Visualization dashboards are widely used interactive tools, but a disconnect exists between the dynamic data they display and their static structure. End-users cannot modify the dashboard to answer new questions. We introduce Living Dashboards, whose views are born, wither, revive, and die in response to how they are used. Rather than requiring manual reconfiguration, a living dashboard observes interaction and natural-language queries to autonomously wither neglected views and revive those used again. More consequential decisions, such as adding or retiring views, are deferred to the user. We formalize the concept as a four-dimensional design space and implement it in Living Dashboard, a web-based prototype. We evaluate it in an exploratory between-subjects study (N = 12) against an AI-supported baseline on analytical tasks. Living Dashboard participants answered more tasks correctly, reported lower workload, and rated the system higher on usability, though the two conditions differed in more than adaptive behavior alone.
Problem

Research questions and friction points this paper is trying to address.

visualization dashboards
dynamic data
static structure
self-updating
end-user interaction
Innovation

Methods, ideas, or system contributions that make the work stand out.

Living Dashboards
Adaptive Visualization
Natural Language Interaction
Self-Updating Dashboard
Dynamic View Management
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