Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?
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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 is 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.
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The lack of significant interactional effects between visualisation literacy and intervention conditions aligns with Shao et al. (2024)'s findings, suggesting that visualisation literacy may not be as pivotal as previously thought in determining the effectiveness of supportive interventions.
“The lack of significant interactional effects between visualisation literacy and intervention conditions aligns with Shao et al. (2024)'s findings, suggesting that visualisation literacy may not be as pivotal as previously thought in determining the effectiveness of supportive interventions (Pozdniakov et al., 2023).”
From The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics (2025) · cites this paper as Shao et al. (2024)
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Experimental — accuracy not yet measuredConventional scaffolding approaches like data storytelling have shown effectiveness in enhancing students' comprehension of visual learning analytics.
“While conventional scaffolding approaches like data storytelling have shown effectiveness in enhancing students' comprehension of VLA, these approaches remain difficult to scale and adapt to individual learning needs.”
From The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics (2025) · cites this paper as Shao, Martinez-Maldonado, Echeverria, Yan, & Gasevic, 2024
The study reports that data storytelling improved comprehension of insights compared with conventional visualisations (p. 1; Results, p. 19). It does not establish that the improvement applies specifically to students comprehending visual learning analytics; its mention of learning analytics concerns teachers using visualisations (Introduction, p. 1). (LLM, conf=0.86)
Experimental — accuracy not yet measuredData stories enhance information retrieval and the understanding of visual data, regardless of an individual's prior data visualisation literacy.
“Shao et al. (2024) found that data stories enhance information retrieval and the understanding of visual data, regardless of an individual's prior data visualisation literacy.”
From The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics (2025) · cites this paper as Shao et al., 2024
The absence of interactional effects between intervention conditions and visualisation literacy on participants' effectiveness in understanding VLA is consistent with Shao et al. (2024)'s findings.
“For the third research question, the absence of interactional effects between intervention conditions and visualisation literacy on participants' effectiveness in understanding VLA is consistent with Shao et al. (2024)'s findings.”
From The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics (2025) · cites this paper as Shao et al. (2024)
Data stories enhance insight extraction for participants across all literacy levels, including those with higher proficiency.
“Conversely, Shao et al. (2024) showed that data stories enhance insight extraction for participants across all literacy levels, including those with higher proficiency.”
From The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics (2025) · cites this paper as Shao et al., 2024
The proactive agent can be viewed as a combination of scaffolding and the passive GenAI agent.
“As these techniques are also frequently used in the creation of data stories (Fernandez-Nieto et al., 2024; Shao et al., 2024), the proactive agent can be viewed as a combination of scaffolding (e.g., data storytelling) and the passive GenAI agent.”
From The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics (2025) · cites this paper as Shao et al., 2024
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From Data to Insights: A Layered Storytelling Approach for Multimodal Learning Analytics
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Cited by
Sorted by citations
Yan, L., Martinez-Maldonado, R., Jin, Y., Echeverria, V., Milesi, M., Fan, J., Zhao, L., Alfredo, R., Li, X., & Gašević, D. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105322 · Cited by 85 · see citing works
Self-citation
- Authors
- Shao, H., Martinez-Maldonado, R., Echeverria, V., Yan, L., & Gasevic, D.
- Affiliations
- Monash University (AU)
- Faculty of Information Technology, Monash University, Australia
- Venue
- Proceedings of the CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2024-05-11
- Pages
- 1-21
- OpenAlex
- W4392019880
- Cited by
- 45
- References
- 6
- Citations by year
- 2026: 14 · 2025: 23 · 2024: 8
- FWCI
- 9.32
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion, cc-by)
- Monash University Research Portal (Monash University) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Funders
- Jacobs Foundation
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Health Sciences › Health Professions › Speech and Hearing › Digital Storytelling and Education
- Keywords
- data storytelling, data visualization, information retrieval
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