The pension story-Data-driven storytelling with pension data

Allgemeines

Art der Publikation: Conference Paper

Veröffentlicht auf / in: International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management

Jahr: 2022

Verlag (Publisher): Springer, Cham

DOI: https://doi.org/10.1007/978-3-031-06018-2_28

Autoren

Kay Schröder

Poornima Belavadi

Martina Ziefle

André Calero Valdez

Zusammenfassung

Due to global socio-economic changes, the European pension systems require several reforms that call for more active roles from the citizens. Past research has shown that traditional pension communication is often not read and understood by the majority of the population. Furthermore, the general interest of the people to learn about pension information is low. As a consequence, the accessibility of pension information poses a significant challenge. To address this challenge, we try to find out if data visualization can help in the perception of the complexity of pension data, and if a narrative can facilitate the understanding within a particular context in this research study. A data-driven storytelling application was built aiming to bridge the knowledge gap about the pension data among the citizens. In this paper, we describe the visualization and narrative structure development process with domain experts. We tested the application individually customized to ten test subjects and found out that the developed data story enhances the understanding, user satisfaction, and accessibility of this information.

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