The pension story-Data-driven storytelling with pension data
General
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
Authors
Kay Schröder
Poornima Belavadi
Martina Ziefle
Abstract
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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