TY - GEN
T1 - The Influence of Data Storytelling on the Ability to Recall Information
AU - Zdanovic, Dominyk
AU - Lembcke, Tanja Julie
AU - Bogers, Toine
N1 - Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. CHIIR ’22, March 14–18, 2022, Regensburg, Germany © 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM. ACM ISBN 978-1-4503-9186-3/22/03. . . $15.00 https://doi.org/10.1145/3498366.3505755 Publisher Copyright: © 2022 ACM.
PY - 2022/3/14
Y1 - 2022/3/14
N2 - 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.
AB - 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.
KW - Data Storytelling
KW - Data Visualization
KW - Information Recall
KW - Cognitive Load
KW - Experimental Framework
KW - Data Storytelling
KW - Data Visualization
KW - Information Recall
KW - Cognitive Load
KW - Experimental Framework
UR - http://www.scopus.com/inward/record.url?scp=85127391112&partnerID=8YFLogxK
U2 - 10.1145/3498366.3505755
DO - 10.1145/3498366.3505755
M3 - Article in proceedings
AN - SCOPUS:85127391112
T3 - CHIIR 2022 - Proceedings of the 2022 Conference on Human Information Interaction and Retrieval
SP - 67
EP - 77
BT - Proceedings of the 2022 Conference on Human Information Interaction and Retrieval
PB - Association for Computing Machinery
T2 - 7th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2022
Y2 - 14 March 2022 through 18 March 2022
ER -