Technology Category
Computer Vision: Multi-modal VisionNatural Language Processing: Language Grounding & Multi-modal NLPMultiagent Systems: Other Foundations of Multi Agent Systems
Proteus: Shapeshifting Desktop Visualizations for Mobile via Multi-level Intelligent Adaptation
🤖 AI Summary
Directly scaling desktop visualizations to mobile devices often results in unreadable text, loss of information, and broken interactions. This work proposes the first multi-granularity adaptive framework that spans topological structure, reference frames, and visual elements, coupled with a large language model–based multi-agent system to automate the transformation pipeline—from parsing and strategy prediction to mobile-ready visualization generation. User studies (N=12) and case evaluations demonstrate that the approach efficiently produces mobile visualizations with high readability and intuitive interactivity, significantly enhancing user experience.
Technology Category
Application Category
📝 Abstract
With the rise of mobile-first consumption, users increasingly engage with data visualizations on mobile devices. However, the vast majority of existing visualizations are originally authored for desktop environments. Due to significant differences in viewport size and interaction paradigms, directly scaling desktop charts often results in illegible text, information loss, and interaction failures. To bridge this gap, we propose an automated framework to adapt desktop-based visualizations for mobile screens. By systematically categorizing the operations involved in the adaptation process, we establish a multi-level design space. This space defines evolution rules spanning from the global topology level, through the reference frame level, down to the visual elements level. Guided by this theoretical framework, we developed Proteus, a large language model-driven multi-agent system that automatically parses online visualizations, predicts optimal transformation strategies within the design space, and generates equivalent, highly readable visualizations for mobile devices. Case studies and an in-depth user study with 12 participants demonstrate the effectiveness and usability of Proteus.
Problem
Research questions and friction points this paper is trying to address.
mobile visualization
desktop-to-mobile adaptation
data visualization
viewport size
interaction paradigms
Innovation
Methods, ideas, or system contributions that make the work stand out.
multi-level adaptation
mobile visualization
large language model
design space
automated transformation
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