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Data multiplexing through animated texture orientation and color

Abstract : Multidimensional data visualization is still a challenge for complex data exploration. Usually, each data dimension might be mapped to one available visual variable such as position, shape or color. While spatial and color data mappings have been previously intensively explored, animated encodings have been far less investigated. However, such techniques are widely used in existing visualizations. In this paper, we propose to assess the visual assets of direction and orientation of directed animated textures to encode data. We present a user study that compares three animated textures and a static representation. The results suggest that the animated techniques can be as effective as the static representation in terms of accuracy and data retrieval time. Finally, we present some design guidelines to efficiently use animated particle visualizations .
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Submitted on : Tuesday, May 7, 2019 - 9:07:20 AM
Last modification on : Wednesday, November 3, 2021 - 5:14:57 AM
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María-Jesús Lobo, Christophe Hurter. Data multiplexing through animated texture orientation and color. VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 2019, Prague, Czech Republic. pp.289-296., ⟨10.5220/0007391602890296⟩. ⟨hal-02120615⟩



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