HCAug 29, 2020

What are Data Insights to Professional Visualization Users?

arXiv:2008.13057v316 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a gap in understanding user perceptions of data insights for visualization tool developers, but it is incremental as it builds on existing research without introducing new methods.

The study investigated how professional users of visualization platforms perceive data insights, identifying seven characteristics from interviews with 23 users and proposing practical implications for tool design.

While many visualization researchers have attempted to define data insights, little is known about how visualization users perceive them. We interviewed 23 professional users of end-user visualization platforms (e.g., Tableau and Power BI) about their experiences with data insights. We report on seven characteristics of data insights based on interviewees' descriptions. Grounded in these characteristics, we propose practical implications for creating tools that aim to automatically communicate data insights to users.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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