Wong, UkritRuchikachorn, PuripantEl-Assady, MennatallahOttley, AlvittaTominski, Christian2025-05-262025-05-262025978-3-03868-282-0https://doi.org/10.2312/evs.20251076https://diglib.eg.org/handle/10.2312/evs20251076Bar charts are widely used for comparing categorical data due to their simplicity and effectiveness, while pictographs enhance engagement and memory retention. This study aims to combine the strengths of both visualization techniques through redundant encoding, integrating internal patterns to improve perception accuracy. By testing various pattern designs, the study evaluates their impact on value estimation. Results indicate that some patterns enhance accuracy, while others introduce complexity that can hinder readability. These findings contribute to optimizing bar chart design for clearer and more intuitive data interpretation.Attribution 4.0 International LicenseBar Charts, Pictographs, Redundant Encoding, Quantitative EvaluationBar ChartsPictographsRedundant EncodingQuantitative Evaluation10.2312/evs.202510765 pages