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Understanding data videos: Looking at narrative visualization through the cinematography lens
- In CHI ’15
, 2015
"... ABSTRACT Data videos, motion graphics that incorporate visualizations about facts, are increasingly gaining popularity as a means of telling stories with data. However, very little is systematically recorded about (a) what elements are featured in data videos and (b) the processes used to create th ..."
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ABSTRACT Data videos, motion graphics that incorporate visualizations about facts, are increasingly gaining popularity as a means of telling stories with data. However, very little is systematically recorded about (a) what elements are featured in data videos and (b) the processes used to create them. In this article, we provide initial insights to build this knowledge. We first report on a qualitative analysis of 50 professionally designed data videos, extracting and exposing their most salient constituents. Second, we report on a series of workshops with experienced storytellers from cinematography, graphics design and screenplay writing. We provided them with a set of data facts and visualizations and observed them create storyboards for data videos. From these exploratory studies, we derive broader implications for the design of an authoring tool to enable a wide audience to create data videos. Our findings highlight the importance of providing a flexible tool supporting a non-linear creation process and allowing users to iteratively go back to different phases of the process.
Improving Bayesian Reasoning: The Effects of Phrasing, Visualization, and Spatial Ability
"... Abstract — Decades of research have repeatedly shown that people perform poorly at estimating and understanding conditional probabilities that are inherent in Bayesian reasoning problems. Yet in the medical domain, both physicians and patients make daily, life-critical judgments based on conditional ..."
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Abstract — Decades of research have repeatedly shown that people perform poorly at estimating and understanding conditional probabilities that are inherent in Bayesian reasoning problems. Yet in the medical domain, both physicians and patients make daily, life-critical judgments based on conditional probability. Although there have been a number of attempts to develop more effective ways to facilitate Bayesian reasoning, reports of these findings tend to be inconsistent and sometimes even contradictory. For instance, the reported accuracies for individuals being able to correctly estimate conditional probability range from 6 % to 62%. In this work, we show that problem representation can significantly affect accuracies. By controlling the amount of information presented to the user, we demonstrate how text and visualization designs can increase overall accuracies to as high as 77%. Additionally, we found that for users with high spatial ability, our designs can further improve their accuracies to as high as 100%. By and large, our findings provide explanations for the inconsistent reports on accuracy in Bayesian reasoning tasks and show a significant improvement over existing methods. We believe that these findings can have immediate impact on risk communication in health-related fields.
Approved by the Guidance Committee:
, 2015
"... Microfilm or other copies of this dissertation are obtainable from ..."
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Authoring Narrative Visualizations with Ellipsis
"... Data visualization is now a popular medium for journalistic storytelling. However, current visualization tools ei-ther lack support for storytelling or require significant technical expertise. Informed by interviews with journalists, we introduce a model of storytelling abstractions that includes st ..."
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Data visualization is now a popular medium for journalistic storytelling. However, current visualization tools ei-ther lack support for storytelling or require significant technical expertise. Informed by interviews with journalists, we introduce a model of storytelling abstractions that includes state-based scene structure, dynamic annotations and decoupled coordination of multiple visualization components. We instantiate our model in Ellipsis: a system that combines a domain-specific language (DSL) for storytelling with a graphical interface for story authoring. User interactions are automatically translated into statements in the Ellipsis DSL. By enabling storytelling with-out programming, the Ellipsis interface lowers the threshold for authoring narrative visualizations. We evaluate Ellipsis through example applications and user studies with award-winning journalists. Study participants find Ellipsis to be a valuable prototyping tool that can empower journalists in the creation of interactive narratives.
Constructing Narrative Visualizations as a means of Increasing Learner Engagement
"... Increasingly visualization systems are using storytelling to present complex data. However, many approaches neglect enabling users to independently explore details within the story. The research presented in this paper provides an overview of the implementation and discusses the evaluation of a nove ..."
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Increasingly visualization systems are using storytelling to present complex data. However, many approaches neglect enabling users to independently explore details within the story. The research presented in this paper provides an overview of the implementation and discusses the evaluation of a novel framework (VisEN), which aims to allow users to construct narratives containing multiple exploration paths. The narratives are told through dynamically generated visualization techniques, which are personalized for individual end users, and where every visualization technique in the narrative can be further explored. The evaluation described assesses the role personalized visual narratives had in increasing engagement of weaker students with an online database SQL course. It was found that weaker students who regularly interacted with their personalized visual narratives showed an improvement in engagement.
Hypertext’14 Workshop Data Visualization Workshop (DataWiz 2014)
"... Welcome to DataWiz 2014, the 1st workshop on Data Visualization, one of the satellite events of the 25th ACM Hypertext conference, that is a premium venue for high quality peer-reviewed research on hypertext theory, systems and applications. DataWiz aims at bringing together an interdisciplinary aud ..."
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Welcome to DataWiz 2014, the 1st workshop on Data Visualization, one of the satellite events of the 25th ACM Hypertext conference, that is a premium venue for high quality peer-reviewed research on hypertext theory, systems and applications. DataWiz aims at bringing together an interdisciplinary audience (e.g. computer and cognitive scientists, designers, data journalists), in order to discuss tools, models and metaphors useful to understand and explain input or output data through advanced graphical user interfaces. In fact, interacting with data by means of intriguing visual representations, that can eventually be accessed from the Web, is a fundamental approach to accurately present scientific findings in an appealing way. The aim is to leave to the observer (likely an expert of the domain) the task of exploring complex phenomena, without the pain of dealing with issues such as data complexity and overload of information. This workshop focuses on both scientific and information visualization, with the aim of discussing of best practices and innovative approaches. 12 papers out 17 submissions were accepted for 20 minutes presentations; the morning session will open with the invited speech of Everardo Reyes-Garcia, whose contribution is included in the proceedings as well.
