Narrative Visualization: Telling Stories with Data

Segel, Edward; Heer, Jeffrey

doi:10.1109/tvcg.2010.179

Cited by 897 publications

(810 citation statements)

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“…Arguably the most popular form of conveying a narrative using quantitative data is through visualisations; and these have become more and more popular (e.g. in journalism) with the terms 'data journalism' and 'narrative visualisation' appearing frequently, even forming genres (Segel and Heer, 2010). However, sometimes these visualisations are used without sufficient reflection.…”

Section: Place and Narrativementioning

confidence: 99%

Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

Straumann

Çöltekin

Andrienko

2014

The Cartographic Journal

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We present a study that explores methodological steps towards (re)constructing collective narratives from the phototaking behaviour of two groups (foreign tourists and inhabitants of Switzerland) by analysing spatial and temporal patterns in user-contributed, georeferenced photographs of Zurich, Switzerland. We reason that the photographers typically capture a scene or a moment because they want to remember or share it, thus these scenes or moments are meaningful to them. Various scholars suggest that the human experience (i.e. this meaningfulness) is what separates a place from the mathematical descriptions of space. While this notion is well known in larger geographic literature, it is under-explored in cartographic research. We respond to this research gap and reconstruct static and dynamic patterns of photo-taking and -sharing behaviour to assist in capturing the implicit meaning in the studied locations. These locations may be meaningful to only a certain group of people in certain moments; therefore, studying group differences in spatial and temporal photo-taking patterns will help building a collective and comparative story about the studied place. In our study, we focus on experiences of foreign versus domestic visitors, and in the process, we examine the potential (and feasibility) of georeferenced photographs for extracting such collective narratives using qualitative and quantitative visual analytical methods.

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Section: Place and Narrativementioning

confidence: 99%

Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

Straumann

Çöltekin

Andrienko

2014

The Cartographic Journal

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“…Finally, many complex visualizations have a narrative structure, whether this arises from eye movement across a single scene, from more structured scene transitions as in comic books, or from temporal transitions in animated media (Segel and Heer 2010). Visualizations are most effective when a mixture of author-driven and reader-driven visual elements is used, such as by providing a brief linear introduction before opening up the interaction to allow more reader-driven interactivity, or by providing a more exploratory space for interaction that is constrained at key points in the narrative (Segel and Heer 2010).…”

Section: What Interactivity Adds To the Visualizationmentioning

confidence: 99%

“…Visualizations are most effective when a mixture of author-driven and reader-driven visual elements is used, such as by providing a brief linear introduction before opening up the interaction to allow more reader-driven interactivity, or by providing a more exploratory space for interaction that is constrained at key points in the narrative (Segel and Heer 2010). In this project, after the desired affordances of the dynamic evolutionary map were identified, the visual style and navigational elements of the map were designed to create a semi-structured interactive experience.…”

Section: What Interactivity Adds To the Visualizationmentioning

confidence: 99%

“…This orienting mechanism draws viewers in, but does not determine the order of their exploration of the visualization. The combination of author-driven and user-driven narrative elements resulting from this interaction is designed to enhance user engagement with the visualization (Segel and Heer 2010).…”

Section: How Users Interact With the Dynamic Evolutionary Mapmentioning

confidence: 99%

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From Tree to Map: Using Cognitive Learning Theory to Suggest Alternative Ways to Visualize Macroevolution

Stephens

2012

Evo Edu Outreach

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Diagrams can be important tools for communicating about evolution. One of the most common visual metaphors that unites a variety of diagrams that describe macroevolution is a tree. Tree-based diagrams are designed to provide a phylogenetic framework for thinking about evolutionary pattern. As is the case with any other metaphor, however, misunderstandings about evolution may either arise from or be perpetuated by how we depict the tree of life. Researchers have tried various approaches to create treebased diagrams that communicate evolution more accurately. This paper addresses the conceptual limitations of the tree as a visual metaphor for evolution and explores the ways we can use digital tools to extend our visual metaphors for evolution communication. The theory of distributed cognition provides a framework to aid in the analysis of the conceptual affordances and constraints of tree-based diagrams, and develop new ways to visualize evolution. By combining a new map-based visual metaphor for macroevolution with the interactive properties of digital technology, a new method of visualizing evolution called the dynamic evolutionary map is proposed. This paper concludes by comparing the metaphoric affordances and constraints of tree diagrams and the dynamic evolutionary map, and discussing the potential applications of the latter as an educational tool.

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“…The fifth (P4) would not be opposed to fully interactive visualizations. Thus authors feel business stories should be mostly author-driven and constraint, known to work best when the goal is storytelling or efficient communication [26]. …”

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confidence: 99%

Storytelling in Visual Analytics Tools for Business Intelligence

Elias

Aufaure

Bezerianos

2013

Human-Computer Interaction – INTERACT 2013

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Abstract. Stories help us communicate knowledge, share and interpret experiences. In this paper we discuss the use of storytelling in Business Intelligence (BI) analysis. We derive the actual practices in creating and sharing BI stories from in-depth interviews with expert BI analysts (both story "creators" and "readers"). These interviews revealed the need to extend current BI visual analysis applications to enable storytelling, as well as new requirements related to BI visual storytelling. Based on these requirements we designed and implemented a storytelling prototype tool that is integrated in an analysis tool used by our experts, and allows easy transition from analysis to story creation and sharing. We report experts' recommendations and reactions to the use of the prototype to create stories, as well as novices' reactions to reading these stories. Keywords: Visual Storytelling, Business Intelligence. IntroductionStories are one of humanity's communication structures and storytelling a means of passing on wisdom and culture. Individually and collectively, stories help us make sense of our past and reason about the future. Johnson 17] and Maclntyre [21] argue that story narrative also goes beyond communication, it is also a process of extracting meaning from events, that is central to human experience and conduct.It is thus not surprising that intelligence analysts, who make sense of data, identify links between disparate pieces of intelligence, and communicate their findings to decision makers, are interested in storytelling. Their analysis process is supported by the construction of stories and narratives, both during sense-making and during presentation of results. Bier et al. [3] point out that a story is a powerful abstraction to conceptualize threats and understand patterns as part of the analytical process, and story structures and storytelling is the means to present the analysis results. As analysts continue to work with increasingly large data sets, data visualization has become an incredibly important asset both during sensemaking analysis, and when communicating findings to other analysts, decision makers or to a broader public [15,27].Given the importance of storytelling in different steps of the analysis process it is clear there is a need to enhance visual analysis tools with storytelling support. Nevertheless this process is not simple [33,20], as analysts need to work within very large data resources and highlight and explain items or events of importance and their connections to their audiences. Despite the growing use and research work on storytelling and narrative visualization in the visualization domain [26,9,15], related research on the domain of BI has not equally progressed. Our work attempts to rectify this.In Business Intelligence (BI) analysis, the most popular visualization tools are dashboards. Dashboards [8] are collections of visual components (such as charts or tables) on a single view [12], that permit analysts to explore their data and quickly view different aspects of co...

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Narrative Visualization: Telling Stories with Data

Cited by 897 publications

References 8 publications

Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

From Tree to Map: Using Cognitive Learning Theory to Suggest Alternative Ways to Visualize Macroevolution

Storytelling in Visual Analytics Tools for Business Intelligence

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