Gravity++: A graph-based framework for constructing interactive visualization narratives

Obie, Humphrey O.; Ho, Dac Thanh Chuong; Avazpour, Iman; Grundy, John; Abdelrazek, Mohamed; Bednarz, Tomasz; Chua, Caslon

doi:10.1016/j.cola.2022.101125

Cited by 6 publications

(3 citation statements)

References 45 publications

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“…Finally, Obie et al propose a tool for rapid data analysis and visualization with the help of a graph structure that combines visualization nodes with a wide list of interactions to provide better visualization sense-making. Gravity++ follows a previous version of the same tool [48,49].…”

Section: Dds Authoring Toolsmentioning

confidence: 99%

A Design Language for Prototyping and Storyboarding Data-Driven Stories

Asgari,

Hurtut

2024

Applied Sciences

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Data-driven stories (DDS) are digital forms of storytelling that arrange data and visualizations to communicate a narrative of information to an audience. They have been growing rapidly over the past decades. As a result, a great degree of versatility appears in the forms of published DDS. The recent structures of DDS are more complex, respecting their arrangement, composition, features, and inner parts. In the current academic research, neither storytelling techniques nor any taxonomies suggest visual mechanisms to distinguish between different layouts, compositions, and arrangements. The lack of an expressive visual solution that integrates different parts of DDS under one structure prevents the authors from trying more alternative design paths in the story design process. In this proposed work, we unify all the constructing parts of DDS to define the narrative structure as a visually structured representation of the DDS narrative, which is formed and designed by their constructing elements. This solution proposes a design language consisting of a set of design rules that integrate the visual elements to represent the DDS narrative structure. Our evaluation of the audit process out of 100 DDS examples confirms that the design language is comprehensive, expressive, and versatile. Additionally, we developed DataStoryDesign, a system that incorporates this visual solution to facilitate prototyping and storyboarding DDS for a team of DDS authors. The preliminary result of the exploratory evaluation indicates that such a solution is effective in prototyping and storyboarding DDS. In addition, our findings confirmed that the existence of our design language improves the visual communication between different personas in the DDS production workflow.

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Section: Dds Authoring Toolsmentioning

confidence: 99%

A Design Language for Prototyping and Storyboarding Data-Driven Stories

Asgari,

Hurtut

2024

Applied Sciences

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“…To achieve the collaboration of humans and machines, tools that provide intelligent support to data storytelling have gained increasing interest (e.g., [13,34,48,61,67]). For example, Erato [48] recommends new data facts based on user-selected facts for completing data stories and generating infographics.…”

Section: Data Storytellingmentioning

confidence: 99%

“…When designing the organization panel, we first thought about showing the story with a tree of facts [33,34]. However, one concern of tree-based design is the scalability issue [17,51].…”

Section: Organizationmentioning

confidence: 99%

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

Lü

Zhang

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Computational notebooks are widely used for data analysis. Their interleaved displays of code and execution results (e.g., visualizations) are welcomed since they enable iterative analysis and preserve the exploration process. However, the communication of data findings remains challenging in computational notebooks. Users have to carefully identify useful findings from useless ones, document them with texts and visual embellishments, and then organize them in different tools. Such workflow greatly increases their workload, according to our interviews with practitioners. To address the challenge, we designed Notable to offer on-the-fly assistance for

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ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty

Musleh,

Ceneda,

Ehlers

et al. 2024

Computer Graphics Forum

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User confidence plays an important role in guided visual data analysis scenarios, especially when uncertainty is involved in the analytical process. However, measuring confidence in practical scenarios remains an open challenge, as previous work relies primarily on self‐reporting methods. In this work, we propose a quantitative approach to measure user confidence—as opposed to trust—in an analytical scenario. We do so by exploiting the respective user interaction provenance graph and examining the impact of guidance using a set of network metrics. We assess the usefulness of our proposed metrics through a user study that correlates results obtained from self‐reported confidence assessments and our metrics—both with and without guidance. The results suggest that our metrics improve the evaluation of user confidence compared to available approaches. In particular, we found a correlation between self‐reported confidence and some of the proposed provenance network metrics. The quantitative results, though, do not show a statistically significant impact of the guidance on user confidence. An additional descriptive analysis suggests that guidance could impact users' confidence and that the qualitative analysis of the provenance network topology can provide a comprehensive view of changes in user confidence. Our results indicate that our proposed metrics and the provenance network graph representation support the evaluation of user confidence and, subsequently, the effective development of guidance in VA.

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Gravity++: A graph-based framework for constructing interactive visualization narratives

Cited by 6 publications

References 45 publications

A Design Language for Prototyping and Storyboarding Data-Driven Stories

A Design Language for Prototyping and Storyboarding Data-Driven Stories

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty

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