![]() I show that movies can be divided into 4 acts-setup, complication, development, and climax-with two optional subunits of prolog and epilog, and a few turning points and plot points. Using a corpus analysis I explore a physical narratology of popular movies-narrational structure and how it impacts us-to promote a theory of popular movie form. The result is a highly effective format that allows rapid processing of complex narratives. One reason for this is that storytelling is culturally important to us, but another is that general narrative formulae have been honed over millennia and that a derived but specific filmic form has developed and has been perfected over the last century. Popular movies grab and hold our attention. The present findings show that the curse of knowledge also plagues the visual perception of data, explaining why people can fail to connect with audiences when they communicate patterns in data. This result reflects a psychological phenomenon known as the curse of knowledge, where an expert struggles to re-create the state of mind of a novice. They were strongly influenced by their own knowledge, despite explicit instructions to ignore it, predicting that others would find the same patterns to be most visually salient. They then predicted what nave viewers would find most visually salient on the visualization. One pattern in the data was particularly visually salient to them given the backstory that they heard. Participants were told one of multiple backstories about political events that affected public polling data, before viewing a graph that depicted those data. Here, we show that when people are primed to see one pattern in the data as visually salient, they believe that nave viewers will experience the same visual salience. But that means that two people can see different patterns in the same visualization, potentially leading to miscommunication. The results suggest that Kineticharts can accurately convey affects, and improve the expressiveness of data stories, as well as enhance user engagement without hindering data comprehension compared to the animation design from DataClips, an authoring tool for data videos.Ī viewer can extract many potential patterns from any set of visualized data values. We evaluated Kineticharts through two user studies. We designed Kineticharts by first conducting a need-finding study with professional practitioners from data journalism and then analyzing a corpus of affective motion graphics to identify salient kinetic patterns. Regarding each affect, we designed varied kinetic motions represented by bar charts, line charts, and pie charts, resulting in 60 animated charts for the five affects. These five affects were found to be frequently communicated through animation in data stories. In this work, we investigate one specific design factor, animation, and present Kineticharts, an animation design scheme for creating charts that express five positive affects: joy, amusement, surprise, tenderness, and excitement. However, how to design affective data stories remains under-explored. From two user studies, we show that Roslingifier allows users to effectively create engaging data stories and the system features help both presenters and viewers find diverse insights.ĭata stories often seek to elicit affective feelings from viewers. Our implementation of the Roslingifier method is capable of identifying and clustering significant movements, automatically generating visual highlighting and a narrative for playback, and enabling the user to customize. From an in-depth analysis of video clips of presentations using interactive visualizations, we derive three specific techniques to achieve this: natural language narratives, visual effects that highlight events, and temporal branching that changes playback time of the animation. ![]() In this paper, we aim to define a design space for this new genre-data presentation-and provide a semi-automated authoring tool for helping presenters create quality presentations. ![]() This data-driven storytelling method with an in-person presenter is a new genre of storytelling technique and has never been studied before. ![]() Like its namesake, Hans Rosling (1948-2017), a professor of public health and a spellbinding public speaker, Roslingifier turns a sequence of entities changing over time-such as countries and continents with their demographic data-into an engaging narrative telling the story of the data. We present Roslingifier, a data-driven storytelling method for animated scatterplots.
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