Evaluating Line Chart Strategies for Mitigating Density of Temporal Data: The Impact on Trend, Prediction, and Decision-Making
October 13, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Rifat Ara Proma, Ghulam Jilani Quadri, Paul Rosen
arXiv ID
2510.11912
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.GR
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Overplotted line charts can obscure trends in temporal data and hinder prediction. We conduct a user study comparing three alternatives-aggregated, trellis, and spiral line charts against standard line charts on tasks involving trend identification, making predictions, and decision-making. We found aggregated charts performed similarly to standard charts and support more accurate trend recognition and prediction; trellis and spiral charts generally lag. We also examined the impact on decision-making via a trust game. The results showed similar trust in standard and aggregated charts, varied trust in spiral charts, and a lean toward distrust in trellis charts. These findings provide guidance for practitioners choosing visualization strategies for dense temporal data.
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