TY - INPR A1 - Schröder, Kay A1 - Eberhardt, Wiebke A1 - Belavadi, Poornima A1 - Ajdadilish, Batoul A1 - van Haften, Nanette A1 - Overes, Ed A1 - Brouns, Taryn A1 - Calero Valdez, André T1 - Telling stories with data - A systematic review N2 - The exponential growth of data has outpaced human ability to process information, necessitating innovative approaches for effective human-data interaction. To transform raw data into meaningful insights, storytelling, and visualization have emerged as powerful techniques for communicating complex information to decision makers. This article offers a comprehensive, systematic review of the utilization of storytelling in visualizations. It organizes the existing literature into distinct categories, encompassing frameworks, data and visualization types, application domains, narrative structures, outcome measurements, and design principles. By providing a well-structured overview of this rapidly evolving field, the article serves as a valuable guide for educators, researchers, and practitioners seeking to harness the power of storytelling in data visualization. KW - Mensch-Maschine-Kommunikation KW - Datenverarbeitung KW - Visualisierung Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2312.01164 PB - arXiv ER -