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arXiv · 2510.12386

Hey Dashboard!: Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding

Vaishali Dhanoa·Gabriela Molina León·Eve Hoggan·Eduard Gröller·Marc Streit·Niklas Elmqvist
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Abstract

Visualization dashboards are regularly used for data exploration and analysis, but their complex interactions and interlinked views often require time-consuming onboarding sessions from dashboard authors. Preparing these onboarding materials is labor-intensive and requires manual updates when dashboards change. Recent advances in multimodal interaction powered by large language models (LLMs) provide ways to support self-guided onboarding. We present DIANA (Dashboard Interactive Assistant for Navigation and Analysis), a multimodal dashboard assistant that helps users for navigation and guided analysis through chat, audio, and mouse-based interactions. Users can choose any interaction modality or a combination of them to onboard themselves on the dashboard. Each modality highlights relevant dashboard features to support user orientation. Unlike typical LLM systems that rely solely on text-based chat, DIANA combines multiple modalities to provide explanations directly in the dashboard interface. We conducted a qualitative user study to understand the use of different modalities for different types of onboarding tasks and their complexities.

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Vaishali Dhanoa, Gabriela Molina León, Eve Hoggan, Eduard Gröller, Marc Streit, Niklas Elmqvist. 2025-10-14. Hey Dashboard!: Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding. https://doi.org/10.1145/3772318.3791766

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