Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?

要旨

Data storytelling (DS) is rapidly gaining attention as an approach that integrates data, visuals, and narratives to create data stories that can help a particular audience to comprehend the key messages underscored by the data with enhanced efficiency and effectiveness. It has been posited that DS can be especially advantageous for audiences with limited visualisation literacy, by presenting the data clearly and concisely. However, empirical studies confirming whether data stories indeed provide these benefits over conventional data visualisations are scarce. To bridge this gap, we conducted a study with 103 participants to determine whether DS indeed improve both efficiency and effectiveness in tasks related to information retrieval and insights comprehension. Our findings suggest that data stories do improve the efficiency of comprehension tasks, as well as the effectiveness of comprehension tasks that involve a single insight, compared with conventional visualisations. Interestingly, these benefits were not associated with participants' visualisation literacy.

著者
Hongbo Shao
Monash University, Melbourne, VIC, Australia
Roberto Martinez-Maldonado
Monash University, Melbourne, Victoria, Australia
Vanessa Echeverria
Monash University, Melbourne, VIC, Australia
Lixiang Yan
Monash University, Melbourne, VIC, Australia
Dragan Gasevic
Monash University, Clayton, Victoria, Australia
論文URL

https://doi.org/10.1145/3613904.3643022

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Data Visualization and Literacy

317
5 件の発表
2024-05-14 18:00:00
2024-05-14 19:20:00