DATA VIZ · 2024OPEN ACCESS
Yuchen Liu, Stanislav Pozdniakov, Roberto Martínez‐Maldonado · Australasian Journal of Educational Technology
Learning analytics (LA) dashboards are becoming increasingly available in various learning settings.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: Study design and Key Findings; skim the related work section.
DATA VIZ · 2025PAYWALLED
Yi He, Ke Xu, Shixiong Cao, Yang Shi, Qing Chen · IEEE Transactions on Visualization and Computer Graphics
Narrative visualization transforms data into engaging stories, making complex information accessible to a broad audience.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
METHOD · 2025OPEN ACCESS
Marco Gonçalves, Cátia M. Salgado, Amaro de Sousa, Leonor Teixeira · Sustainability
Seaports are experiencing several challenges due to the explosive growth of the maritime shipping business, which has led to the need for digitalized operations and more effective solutions.
Why is this worth your time?This gives you a rigorous, repeatable method to integrate directly into your design discovery toolkit. You will find it particularly valuable when scoping ambiguous project briefs and structuring qualitative feedback into actionable design constraints.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2025PAYWALLED
Sitti Farinah Sakarang, Mohammad Fadhli Asli, Muzaffar Hamzah · Information Visualization
Narrative visualization is a method for conveying data or information in an engaging storytelling form using interactive visualizations.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024PAYWALLED
Gloria Milena Fernandez-Nieto, Roberto Martínez‐Maldonado, Vanessa Echeverría, Kirsty Kitto, Dragan Gašević · Scholarly Repository
Dashboards are increasingly used in education to provide teachers and students with insights into learning.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2025PAYWALLED
Haotian Li, Yun Wang, Q. Vera Liao, Huamin Qu · IEEE Transactions on Visualization and Computer Graphics
This paper explores the potential for human-AI collaboration in the context of data storytelling for data workers.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024PAYWALLED
Zhongzheng Xu, Emily Wall · Scholarly Repository
Data visualizations help extract insights from datasets, but reaching these insights requires decomposing high level goals into low-level analytic tasks that can be complex due to varying degrees of data literacy and visualization experience.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024OPEN ACCESS
Øyvind Hammer, David A.T. Harper · Scholarly Repository
Visualization is the first step in any data analysis, and perhaps the most important.
Why is this worth your time?This is worth your time because it challenges standard visual encoding conventions with empirical perceptual evidence. You can directly apply its findings to make higher-fidelity choices around visual hierarchy, pre-attentive cues, and chart readability.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024OPEN ACCESS
Yuheng Zhao, Yixing Zhang, Yu Zhang, Xinyi Zhao, Junjie Wang · IEEE Transactions on Visualization and Computer Graphics
Visual analytics supports data analysis tasks within complex domain problems.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024PAYWALLED
Haotian Li, Yun Wang, Huamin Qu · Scholarly Repository
Data storytelling is powerful for communicating data insights, but it requires diverse skills and considerable effort from human creators.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024PAYWALLED
Zixin Chen, Jiachen Wang, Meng Xia, Kento Shigyo, Dingdong Liu · IEEE Transactions on Visualization and Computer Graphics
The integration of Large Language Models (LLMs), especially ChatGPT, into education is poised to revolutionize students' learning experiences by introducing innovative conversational learning methodologies.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
METHOD · 2024PAYWALLED
Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang · IEEE Transactions on Visualization and Computer Graphics
Translating natural language to visualization (NL2VIS) has shown great promise for visual data analysis, but it remains a challenging task that requires multiple low-level implementations, such as natural language processing and visualization design.
Why is this worth your time?This gives you a rigorous, repeatable method to integrate directly into your design discovery toolkit. You will find it particularly valuable when scoping ambiguous project briefs and structuring qualitative feedback into actionable design constraints.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
METHOD · 2024PAYWALLED
Kate McDowell, Matthew Turk · Information and Learning Sciences
Purpose Data storytelling courses position students as agents in creating stories interpreted from data about a social problem or social justice issue.
Why is this worth your time?This gives you a rigorous, repeatable method to integrate directly into your design discovery toolkit. You will find it particularly valuable when scoping ambiguous project briefs and structuring qualitative feedback into actionable design constraints.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
STRATEGY · 2025OPEN ACCESS
Jonatan Reyes, Anil Ufuk Batmaz, Marta Kersten‐Oertel · Frontiers in Computer Science
Introduction Decision-making based on AI can be challenging, especially when considering the uncertainty associated with AI predictions.
Why is this worth your time?This provides a decision-making rubric that connects user research findings directly to organizational strategy. It gives you the language and evidence necessary to defend design decisions before executive stakeholders.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024OPEN ACCESS
Yi He, Ke Xu, Shixiong Cao, Yang Shi, Qing Chen · arXiv (Cornell University)
Narrative visualization transforms data into engaging stories, making complex information accessible to a broad audience.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024OPEN ACCESS
Fábio Miranda, Thomas Ortner, Gustavo Moreira, Maryam Hosseini, Milena Vuckovic · Computer Graphics Forum
Abstract Urbanization has amplified the importance of three‐dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholders.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024PAYWALLED
Junpeng Wang, Shixia Liu, Wei Zhang · IEEE Transactions on Visualization and Computer Graphics
The past decade has witnessed a plethora of works that leverage the power of visualization (VIS) to interpret machine learning (ML) models.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024PAYWALLED
Newton Lee · Encyclopedia of Computer Graphics and Games
Substantive research in Encyclopedia of Computer Graphics and Games exploring empirical methodologies and practical frameworks.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024PAYWALLED
Xunan Tan, Xiang Suo, Wenjun Li, Lei Bi, Fangshu Yao · The Visual Computer
Substantive research in The Visual Computer exploring empirical methodologies and practical frameworks.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2025OPEN ACCESS
Madison Fansher, Logan Walls, Chenxu Hao, Hari Subramonyam, Aysecan Boduroglu · Cognitive Research Principles and Implications
In contexts where people lack prior knowledge and risk awareness-such as the COVID-19 pandemic-even truthful visualizations of data can seem surprising.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024OPEN ACCESS
Christophe Hurter, Alexandru Telea, Bernice E. Rogowitz · Scholarly Repository
This chapter focuses on designing effective and user-friendly information visualizations that enhance usability, user experience, and inclusivity.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024OPEN ACCESS
Tong Chen, Tong Chen, Yongxin Liu, Tao Chen, Tao Chen · iMeta
ImageGP is an extensively utilized, open-access platform for online data visualization and analysis.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2025OPEN ACCESS
Jan Broder Engler · iMeta
Code-based data visualization is a crucial tool for understanding and communicating experimental findings while ensuring scalability and reproducibility.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: Study design and Key Findings; skim the related work section.
DATA VIZ · 2024OPEN ACCESS
Angelica Lo Duca, Kate McDowell · Journal of the Association for Information Science and Technology
Abstract Communicating insights from data effectively requires design skills, technical knowledge, and experience.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024PAYWALLED
Nao Li, Leyan Li, Xiaoming Chen, IpKin Anthony Wong · Journal of Hospitality and Tourism Management
Substantive scholarly research on narrative visualization OR data storytelling published in Journal of Hospitality and Tourism Management.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024OPEN ACCESS
H. Shao, Roberto Martínez‐Maldonado, Vanessa Echeverría, Lixiang Yan, Dragan Gašević · Scholarly Repository
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.
Why is this worth your time?This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024PAYWALLED
Shuangbin Xu, Erqiang Hu, Yantong Cai, Zijing Xie, Xiao Luo · Nature
Substantive scholarly research on visualizing uncertainty OR uncertainty visualization published in Nature.
Why is this worth your time?This is useful if you are wrestling with how to represent incomplete, noisy or disputed data without misleading your audience. The paper introduces concrete techniques to communicate probabilistic ranges while preserving interpretive clarity for non-technical viewers.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024PAYWALLED
Zehao Dong, Mengwu Huo, Jie Li, Jingyuan Li, Pengcheng Li · Nature
Substantive scholarly research on visualizing uncertainty OR uncertainty visualization published in Nature.
Why is this worth your time?This is useful if you are wrestling with how to represent incomplete, noisy or disputed data without misleading your audience. The paper introduces concrete techniques to communicate probabilistic ranges while preserving interpretive clarity for non-technical viewers.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024PAYWALLED
Daniel H. Huson, David Bryant · Nature
Substantive scholarly research on visualizing uncertainty OR uncertainty visualization published in Nature.
Why is this worth your time?This is useful if you are wrestling with how to represent incomplete, noisy or disputed data without misleading your audience. The paper introduces concrete techniques to communicate probabilistic ranges while preserving interpretive clarity for non-technical viewers.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2025PAYWALLED
Tian Lu · Angewandte Chemie International Edition
Understanding the types and locations of interactions between atoms or molecules within a chemical system is a fundamental concern in chemistry.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.
DATA VIZ · 2024OPEN ACCESS
H. J. Mu, Jianzhou Chen, Wenjie Huang, Gui Huang, Meiying Deng · iMeta
The OmicShare tools platform is a user-friendly online resource for data analysis and visualization, encompassing 161 bioinformatic tools.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024PAYWALLED
Zhijuan Zong, Yu Guan · Journal of the Knowledge Economy
Substantive scholarly research on data visualization OR visual analytics published in Journal of the Knowledge Economy.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024PAYWALLED
Abdalmuttaleb M. A. Musleh Al-Sartawi, Mohd Helmy Abd Wahab, Khaled Hussainey · Communications in computer and information science
Substantive scholarly research on data visualization OR visual analytics published in Communications in computer and information science.
Why is this worth your time?This is useful if you are developing research-led visualization tools or bespoke client dashboards. It offers a structured way to evaluate whether your visual encodings genuinely support cognitive reasoning rather than merely presenting attractive graphics.
Read: Read: Methodology and Discussion sections; review the central architecture diagram.
DATA VIZ · 2024OPEN ACCESS
Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie · arXiv (Cornell University)
Designing computationally efficient network architectures remains an ongoing necessity in computer vision.
Why is this worth your time?This is worth your time because it challenges standard visual encoding conventions with empirical perceptual evidence. You can directly apply its findings to make higher-fidelity choices around visual hierarchy, pre-attentive cues, and chart readability.
Read: Read: The conceptual framework section and accompanying synthesis diagrams.