The Influence of Data Storytelling on the Ability to Recall Information
- Dominyk Zdanovic,
- Tanja Julie Lembcke,
- Aalborg University
Open access
Publication Information
Output type
Host publication Subtitle
CHIIR '22Original language
EnglishPages from-to (Number of pages)
Pages 67-77 (11 pages)Publication milestones
- Published - 14/03/2022
Publication status
Publisher
Association for Computing Machinery, United StatesBook series
- Book series name: CHIIR 2022 - Proceedings of the 2022 Conference on Human Information Interaction and Retrieval
ISBN (Electronic)
9781450391863Publication IDs
- Scopus: 85127391112
Host publication title
Proceedings of the 2022 Conference on Human Information Interaction and RetrievalAbstract
With ever-increasing amounts of complex data, we need compelling ways to distill this information into meaningful, memorable and engaging insights. Data storytelling is an emerging visualization paradigm that aims to “tell a story” with data in order to elicit deeper reflections in an effective manner. However, the effects of adding a narrative to a visualization on the memorability of the information remain speculative. Based on a review of related work, we synthesize a framework of data storytelling principles with concrete actions for every principle. We use this framework to design an online, controlled experiment to test compare traditional data visualizations with data storytelling visualizations in terms of their effects on short-term and long-term recall of information displayed in the visualizations. In general, despite long-held assumptions in the visualization community, we find no significant differences in recall between traditional visualizations and data storytelling visualization. However, we find indications that the cognitive load induced by different chart types and self-assessed prior knowledge on the chart topics could possibly have a moderating effect on information recall.
