{"ID":2856575,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.11912","arxiv_id":"2510.11912","title":"Evaluating Line Chart Strategies for Mitigating Density of Temporal Data: The Impact on Trend, Prediction, and Decision-Making","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.","short_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 pe...","url_abs":"https://arxiv.org/abs/2510.11912","url_pdf":"https://arxiv.org/pdf/2510.11912v1","authors":"[\"Rifat Ara Proma\",\"Ghulam Jilani Quadri\",\"Paul Rosen\"]","published":"2025-10-13T20:24:18Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"cs.GR\"]","methods":"[]","has_code":false}