Telling stories with data - A systematic review

  • 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.

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Author:Kay SchröderORCiD, Wiebke EberhardtORCiD, Poornima Belavadi, Batoul AjdadilishORCiD, Nanette van HaftenORCiD, Ed OveresORCiD, Taryn Brouns, André Calero ValdezORCiD
open access:Bronze - frei zugänglich aber ohne Lizenzhinweis, d.h. keine Weitergabe
Fachbereich/Einrichtung:Hochschule Düsseldorf / Fachbereich - Design
Document Type:Preprint
Year of Completion:2023
Language of Publication:English
Publisher:arXiv
Page Number:25
DOI:https://doi.org/10.48550/arXiv.2312.01164
ArXiv Id:http://arxiv.org/abs/arXiv:2312.01164v1
GND Keyword:Mensch-Maschine-Kommunikation; Datenverarbeitung; Visualisierung
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):keine Lizenz - nur Metadaten
Release Date:2024/10/28
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