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Evaluating Animated Transitions between Contiguous visualizations for Streaming Big Data

Evaluating Animated Transitions between Contiguous Visualiza...

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IEEE visualization Conference (VIS)

作者： Pereira, Tiago Moreira, Joao Mendes, Daniel Goncalves, Daniel Univ Lisbon Inst Super Tecn INESC ID Lisboa Lisbon Portugal Univ Porto INESC TEC Fac Engn Porto Portugal

ISBN: (纸本)9781728180144

An approach to analyzing Streaming Big Data as it comes in while maintaining the proper context of past events is to employ contiguous visualizations with an increasingly aggressive aggregation degree. This allows for the most recent data to be displayed in detail, while older data is shown in an aggregated form according to how long ago it was received. However, the transitions applied between visualizations with different aggregations must not compromise the understandability of the data flow. Particularly, new data should be perceived considering the context established by older data, and the visualizations should not be perceived as independent or unconnected. In this paper, we present the first study on transitions between two contiguous visualizations, focusing on time series data. We developed several animated transitions between a scatter plot, where all data points are individually represented as they arrive, and other visualizations where data is displayed in an aggregated form. We then conducted a user evaluation to assess the most appealing and effective transitions that allow for the best comprehension of the displayed data for each visualization pair.

关键词： human-centered computing-visualization-visualization Techniques human-centered computing-visualization-empirical studies in visualization

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Are LLMs ready for visualization? 17

Are LLMs ready for Visualization?

引用

17th Pacific visualization Conference (PacificVis)

作者： Vazquez, Pere-Pau UPC ViRVIG Grp Barcelona Spain

ISBN: (纸本)9798350393811;9798350393804

Generative models have received a lot of attention in many areas of academia and the industry. Their capabilities span many areas, from the invention of images given a prompt to the generation of concrete code to solve a certain programming issue. These two paradigmatic cases fall within two distinct categories of requirements, ranging from "creativity" to "precision", as characterized by Bing Chat, which employs ChatGPT-4 as its backbone. visualization practitioners and researchers have wondered to what end one of such systems could accomplish our work in a more efficient way. Several works in the literature have utilized them for the creation of visualizations. And some tools such as Lida, incorporate them as part of their pipeline. Nevertheless, to the authors' knowledge, no systematic approach for testing their capabilities has been published, which includes both extensive and in-depth evaluation. Our goal is to fill that gap with a systematic approach that analyzes three elements: whether Large Language Models are capable of correctly generating a large variety of charts, what libraries they can deal with effectively, and how far we can go to configure individual charts. To achieve this objective, we initially selected a diverse set of charts, which are commonly utilized in data visualization. We then developed a set of generic prompts that could be used to generate them, and analyzed the performance of different LLMs and libraries. The results include both the set of prompts and the data sources, as well as an analysis of the performance with different configurations.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-empirical studies in visualization

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