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.
|Title of host publication||Proceedings of the 2022 Conference on Human Information Interaction and Retrieval : CHIIR '22|
|Number of pages||11|
|Publisher||Association for Computing Machinery|
|Publication date||14 Mar 2022|
|Publication status||Published - 14 Mar 2022|
|Event||7th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2022 - Virtual, Online, Germany|
Duration: 14 Mar 2022 → 18 Mar 2022
|Conference||7th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2022|
|Period||14/03/2022 → 18/03/2022|
|Sponsor||Special Interest Group on Information Retrieval (ACM SIGIR)|
|Series||CHIIR 2022 - Proceedings of the 2022 Conference on Human Information Interaction and Retrieval|
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CHIIR ’22, March 14–18, 2022, Regensburg, Germany
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- Data storytelling
- data visualization
- information interaction
- learning effect